Sales AI Tools

Playly.ai is a no-code gamified marketing platform that empowers businesses to create interactive experiences that capture attention, increase customer engagement, and drive measurable results. Built for modern marketers, agencies, brands, and businesses of all sizes, Playly.ai transforms traditional marketing campaigns into engaging experiences that audiences genuinely enjoy participating in. Today's customers expect more than static advertisements and conventional lead forms. They want meaningful interactions that are personalized, memorable, and rewarding. Playly.ai helps businesses meet these expectations by enabling them to build interactive campaigns using ready-to-use templates such as quizzes, Spin & Win, scratch cards, polls, memory games, puzzles, prediction games, personality tests, and more—all without writing a single line of code.Whether you're generating leads, launching a product, promoting an event, growing your email list, collecting zero-party data, or increasing customer participation, Playly.ai provides the tools to create campaigns that turn passive visitors into active participants. Every interaction becomes an opportunity to engage audiences, gather valuable customer insights, and improve marketing performance.Designed with simplicity and flexibility in mind, Playly.ai allows marketers to customize games with their own branding, messaging, rewards, and campaign goals. Interactive experiences can be embedded on websites, landing pages, email campaigns, social media, QR codes, digital ads, and event activations, making it easy to engage customers across multiple touchpoints.Our mission is to make marketing more interactive, engaging, and enjoyable. We believe the future of marketing isn't about interrupting audiences with more advertisements it's about creating experiences that invite participation and build stronger customer relationships.Through our blog, Playly.ai shares practical insights, industry trends, campaign ideas, gamification strategies, customer engagement techniques, and interactive marketing best practices to help businesses stay ahead in an increasingly competitive digital landscape. From retail and real estate to healthcare, education, banking, hospitality, SaaS, and events, we explore how gamification can be applied across industries to improve engagement, generate quality leads, and increase conversions.At Playly.ai, we're helping brands rethink the way they connect with their audiences one interactive experience at a time.Marketing That People Want to Play.

Naoma AI Demo Agent V2 is an AI video sales agent that gives every prospect a live, personalized product demo the moment they want one. Instead of asking visitors to fill in a book-a-demo form and wait for a rep, Naoma starts the demo instantly, walks the prospect through the live product, answers their questions, qualifies them and books the meeting. It is built for B2B SaaS teams that want to run more demos without hiring more reps, and it works on a website, inside an app, or in outbound emails. Naoma speaks 33 languages, runs 24/7, and writes every session back into the CRM so no conversation is lost. The problem Naoma targets is the gap between buyer interest and buyer access. A typical book-a-demo button converts only 1-2% of website visitors; everyone else leaves without ever seeing the product. Demos also tend to be constrained by business hours, time zones and the languages a sales team can realistically staff, which means a prospect researching at 11:42 PM, 3:15 AM or 5:07 AM may simply never get a demo at all. Long enterprise buying cycles make the gap worse, because a single opportunity often involves multiple decision-makers across marketing, operations, IT, procurement and management, each with different priorities, KPIs and questions. Naoma's premise is that a demo should be available immediately, in the buyer's language, whenever the buyer is ready - not whenever a rep happens to be free. Naoma's core capability is the automated demo itself. When a visitor requests a demonstration, there is no scheduling and no waiting: the demo starts immediately, and Naoma states that demos can start in 10 seconds. The AI agent handles discovery, tailors the session to the prospect's needs, industry and role, shows the features that matter to that person, and answers questions as they come up. After the session it qualifies the prospect and routes them onward: qualified leads go straight to the CRM, high-intent buyers can be sent to checkout, and Naoma can book a meeting with the sales team, all without a manual handoff. In practice each demo ends in one of three outcomes - meeting booked, qualified, or disqualified - so the sales team receives a pre-qualified list rather than raw traffic. Hyper-personalization is what makes each demo feel relevant rather than generic. Naoma learns the product from the material the company already has: sales scripts, demo recordings, the knowledge base, sales presentations and the demo environment itself. Because it is trained on those sources, it can handle complex technical questions and adapt the conversation to the context of the specific visitor. This is what allows the same agent to demo a deep, feature-rich platform credibly without a human rep driving the screen, and it is why teams describe the experience as doing discovery for them. Language coverage is a headline feature. Naoma speaks 33 languages, on the principle that buyers prefer to explore a product in their native language, which removes friction and helps every prospect understand the product and its value in the language they think in. The website illustrates this with named agent personas such as Alexandra Chen (VP of Sales) in English, Carlos Rodriguez (Head of Customer Success) in Spanish and Sophie Martin (Product Marketing Director) in French. Teams can also choose the face of their demos: the signature Naoma agent, a branded mascot, an animated avatar, or a static realistic avatar generated from a real photo, so the demo experience fits the brand and stays memorable. Beyond revenue, Naoma captures intelligence that buyers do not usually volunteer to a rep: competitors, objections, questions and feature requests. The company frames this as intel for sales, marketing and product teams, not just a source of pipeline. Because every session runs through the agent, the objections and questions raised during demos are recorded systematically, which gives marketing and product a view of what buyers actually ask and resist. Naoma also remembers returning visitors and picks up where they left off, so a prospect who starts exploring and comes back later continues the same thread instead of starting over. Naoma describes its workflow in four automated steps. First, a prospect on the website or in the app requests a demo - no scheduling and no waiting, the demo starts immediately. Second, the AI sales agent runs a live, personalized demo tailored to the prospect's needs, industry and role, handling discovery, showing relevant features and answering questions. Third, qualified leads are routed straight to the CRM, with the option to book a meeting with the sales team or send high-intent buyers to checkout, with no manual handoff. Fourth, the agent surfaces buyer insights, including competitors, objections, questions and feature requests, for sales, marketing and product. End-user feedback from live demos is used to benchmark quality: 89% of end users mention how human the experience feels, 77% praise how it handles interruptions, and fewer than 2% of sessions hit any technical issue. The stated outcome for customers is more demos from the same traffic and the same budget. Naoma reports that typical visitor-to-demo conversion is 1-2%, while visitor-to-AI-demo conversion with Naoma reaches 6-20%. The company also positions the product around running 5x more demos without hiring more reps. Because the agent operates 24/7 and in 33 languages, prospects get demos at peak buying moments across every time zone rather than waiting for a reply. Reviewers on G2 describe the practical effect: prospects learn about the platform whenever it is convenient for them, discovery is effectively done for the sales team, and reps can focus on higher-value conversations. Naoma holds a 4.9 rating on G2 and states that 50,000+ demos have been run for B2B SaaS teams. Concrete use cases come from published case studies. Hoteza, a web-based guest engagement platform for hotels, placed Naoma behind a "Get AI demo now" button so leads arriving across every time zone and language get an interactive demo immediately; the company reports that since April, 57 hotels explored the product this way and one regional partner signed after going through the AI demo. AiSDR uses Naoma to run personalized demos of its AI sales development platform for website visitors. UXPressia uses it to demo journey maps, personas and an AI persona builder for visitors who might not discover the platform's depth in a self-serve trial. App Radar uses it to qualify visitors and surface larger accounts worth routing into a sales-assisted funnel. Mellow uses it to reduce demos run with prospects who are not the right fit, and Hoteza and Mellow both cite that same qualification goal. Naoma is aimed at B2B SaaS teams - its customer logos include Yesim, Mellow, Runwayer, MarketOwl, Magify, UXPRESSIA, AiSDR, Hoteza and App Radar - and G2 reviewers span small businesses, mid-market companies and enterprise buyers. The product routes into a CRM, a calendar or checkout, and the site points to a knowledge base covering pricing, setup, security, CRM integrations and multilingual demos. On the security side, Naoma states that it is GDPR compliant and protects both customer data and their customers' information with enterprise-grade security. Naoma has also been recognized publicly, including Product Hunt daily and monthly top-post badges, Tekpon's Top Demo Automation Software Q1 2026 and a Global Startup Award from The Ventures, alongside press coverage of a $440k pre-seed round. Prospects can start a demo directly from the website, teams can build an agent in Naoma's app, and the company offers an ROI calculator. Naoma AI Demo Agent V2 is a purpose-built AI video sales agent for instant, personalized product demos. By replacing the book-a-demo form with an agent that demos, qualifies and routes in real time across 33 languages, it turns existing website traffic into booked, qualified meetings without adding sales headcount - and it feeds the objections, questions and competitor mentions back to the teams that need them.

ColdLine.ai is an AI tool that turns cold prospects into hot leads with AI-powered personalized pitches. It is built for anyone who sends outreach to people they have not spoken to before and needs each message to feel relevant rather than generic. The product works from information you already have about a prospect: you simply add your prospect's details, and ColdLine.ai creates a relevant, human-sounding pitch in seconds. Its stated purpose is to save time, personalize your outreach, and get more replies — without writing every message from scratch. The people it is positioned for are founders, sales teams, marketers, recruiters, and agencies. Cold outreach is difficult precisely because it is cold. A message that reads like a template is easy to ignore, while a message that speaks to the recipient's specific situation is far more likely to be read and answered. Producing that kind of message at any volume, however, is slow work: each prospect has to be considered individually, and each pitch has to be written from a blank page. ColdLine.ai addresses that tension head-on. Instead of forcing a choice between personalization and speed, the product is designed to deliver both, generating a relevant pitch for each prospect quickly enough that outreach can continue at volume. The stated outcome is more replies from prospects who were previously cold. The first step in the ColdLine.ai workflow is providing the details of the prospect you want to reach. You add your prospect's details, and that information becomes the basis for the pitch the tool generates. This input is what makes personalization possible: rather than a single generic message reused across a list of contacts, the pitch is built around the specific prospect in front of you. Because the only thing you have to supply is the prospect's details, the barrier to producing a tailored message is low, and the process fits naturally into an existing prospecting routine rather than replacing it. ColdLine.ai generates the pitch in seconds. That speed is at the core of the value proposition, because personalized outreach normally costs time — and time is what limits how many prospects a person or a team can realistically approach. By compressing the writing step to seconds per prospect, ColdLine.ai makes it practical to personalize outreach consistently instead of reserving personalization for the handful of prospects who seem most important. The stated benefit is tied directly to this speed: save time, personalize your outreach, and get more replies. The pitches ColdLine.ai creates are described as relevant and human-sounding. Relevance means the message is connected to the prospect's details rather than being a generic template; human-sounding means the result is intended to read like something a person would actually write, not like an obviously automated message. Together, these qualities are what allow a pitch to be sent to a cold prospect without immediately marking it as bulk outreach. A relevant, human-sounding message is more likely to be engaged with, which is how the product aims to turn cold prospects into hot leads. ColdLine.ai follows a deliberately short methodology. You bring the prospect details; ColdLine.ai handles the writing. No elaborate setup is described, and no writing is required from you — the product exists so that you do not have to compose every message from scratch. The workflow is simple: add your prospect's details, receive a personalized pitch created by AI in seconds, and send it. The AI's role is to turn the raw facts you have about a prospect into a pitch that is relevant and sounds human, at a speed that manual writing cannot match. The benefits stated for ColdLine.ai are threefold: saving time, personalizing outreach, and getting more replies. Saving time matters because outreach volume is usually limited by writing capacity. Personalization matters because relevant messages perform better than generic ones. More replies matter because a reply is the point at which a cold prospect starts to become a lead. Because the product removes the need to write every message from scratch, the time that would have gone into drafting can instead go into reaching more prospects or following up with the people who respond. ColdLine.ai is described as suitable for founders, sales teams, marketers, recruiters, and agencies. For a founder, it means reaching out to prospective customers or partners without spending the day writing introductions. For a sales team, it means personalized first-touch outreach across a pipeline of prospects. For a marketer, it supports outreach campaigns that need to feel individually written. For a recruiter, it means approaching candidates with messages tailored to each person. For an agency, it means producing personalized outreach for multiple clients without the writing overhead that would normally be involved. The target users named in the product's own description are founders, sales teams, marketers, recruiters, and agencies — people and teams whose work depends on starting conversations with prospects they do not yet know. ColdLine.ai is presented squarely as a tool for that outreach step. Beyond the fact that it is an AI-powered product reached through its website at coldlineai.xyz, the available content does not state specific integrations, a technical stack, or pricing plans. ColdLine.ai's value proposition is straightforward: cold prospects become hot leads when the pitch they receive is relevant and human-sounding, and producing that kind of pitch at scale is normally too slow to do consistently. ColdLine.ai automates the writing step so that you add your prospect's details and get a personalized pitch in seconds. The result is outreach that is faster to produce, personalized by default, and designed to earn more replies — without writing every message from scratch.

Youkti is an outbound revenue system that turns account knowledge and relationship data into revenue. In its own words, it is "the outbound system of thinking and action": it keeps a memory of every account, conversation, and deal, then tells a sales team the exact next move — which deal is slipping, which dormant account just fired a signal, and what to prepare for tomorrow's meeting. It is built for account executives, RevOps teams, outbound reps, and sales leaders who want to win more new logos, move more pipeline, and reactivate dormant accounts. The stated promise is intelligent outbound, live signals, and a complete memory of every account, surfaced through command surfaces tuned to each role. The problem Youkti addresses is not a shortage of sales data but a shortage of attention and timing. Deals slip out of the pipeline before anyone notices they have stalled, dormant accounts quietly launch new initiatives, and buying committees change shape without the account team knowing. Sales teams are left doing manual updates, digging for context, guessing at next steps, and missing follow-ups. Battlecards go stale, competitive context arrives too late, and CRM records drift out of accuracy unless someone maintains them by hand. Youkti positions itself against that fragmentation, and even frames its automatic CRM sync as an alternative to spending $100K+ on Salesforce Data Cloud 360 and implementations. The first layer of the product is ARYA, described as a conversational GTM builder rather than a static workflow. You tell ARYA what you want in plain English and it builds the entire flow through conversation: signal triggers, persona matching, outreach rules, and cadence. The configuration updates live as you talk, with no drag-and-drop and no if-else logic — conversation in, config out. A visible flow runs Signal, Signal Filter, Persona Match, then Auto-Sequence. Signal triggers can include Funding Raised and Hiring Surge; target personas can be VP Sales, CRO, Head of Sales, VP Marketing, and CMO. Outreach rules can branch, for example: if Funding Raised AND Hiring Surge, use an aggressive tone, a cadence every 3–4 days, and 5 emails; if Funding Raised OR Hiring Surge, use a consultative tone, a weekly cadence, and 3 emails. The interface shows a live config review that updates as you chat with ARYA, and the product describes itself as a system that learns itself. The second layer is execution through a daily cockpit. Every morning reps open one screen where accounts are prioritized, signals are overlaid, personas are matched, and sequence hooks are written — one click pushes the sequence. A sample dashboard shows 15K accounts, 892 active signals, 609 plays for the day with 61 marked high priority, 165 live sequences, and meetings tracked for the day, with tabs for Queue, Insights, Alerts, Pipeline, and Cards. Each account row shows the account and domain, the signal and why it fired now, the matched personas, the sequence hook with its step count and duration, and a push button. Once an account is pushed, it enters an Account Journey. Youkti tracks status, engagement, replies, and meetings, and surfaces the next step automatically. There are no manual updates, no digging, no guessing, and no missed follow-ups. Journeys include auto-tracked engagement, health scoring, and AI-generated next steps, with account states such as Growing, Stable, Needs Attention, and At Risk. In a sample journey, Storylane is shown with 10 emails sent, 10 replies, and 3 meetings and a recommended next step of reaching out with a relevant case study; Intuit shows 5 emails with 5 replies and a suggestion to push for a meeting; WinSupply is shown with 16 emails, 16 replies, and 22 meetings. A deep dive view gives account intelligence with deal context and next actions. Clicking into any account reveals next actions with reasoning, the latest meeting brief with talking points, stakeholder maps, a full timeline, signals, and talk tracks. The system recommends and the user decides. In the Storylane example, the board shows emails sent, replies, meetings, and LinkedIn activity, plus seven next actions such as engaging on a product update, checking in after trial onboarding, re-engaging after 25 days of inactivity, and discussing tech stack changes, alongside a dated meeting brief and a timeline. Behind this sits an intelligence layer that scores every account on readiness, ICP fit, budget, timeline, and sales cycle, then generates deal actions, strategic approach, entry points, key messages, and email templates — described as a 6-step account-based campaign in 1 click. The scorecard example shows readiness 9/10, ICP fit 8/10, high budget backed by a $250M Series F, a 1–3 month timeline for pilot approval, a 3–5 month sales cycle, high ROI potential, a high effort level, and a best timing recommendation, along with concrete next steps. Signals are monitored across the entire TAM — funding, hiring, leadership changes, lawsuits, competitive moves, and tech stack swaps — and when one fires, the system provides analysis, reasoning, and a timing window rather than just an alert. It provides confidence scoring with reasoning, a "Why It Matters" explanation for every signal, and timing guidance such as "Next 2-4 weeks." Youkti then generates complete multi-step sequences with A/B variants, each tied to specific signals and account context. Campaign strategy, messaging angles, subject lines, and email bodies are grounded in account intelligence rather than templates. A sample sequence shows 6 total steps, 12 total emails, and a 16-day duration, where Variant A leverages a customer award and Variant B focuses on an ARR milestone and tech-stack consolidation. The selected variant can be pushed to Lemlist, Outreach, or any SEP with one click, with no copy-paste. The platform module list covers Prospects & Lists for building, distributing, and tracking prospect lists at scale; Account Intelligence for 100+ parameters of contextual company intelligence in under 60 seconds with a single click; Outreach Automation for messaging angles, follow-ups, and outreach guidance tied to real signals; Competitive Intelligence for tracking competitors, comparisons, and real-time changes affecting active deals; Sales Enablement for centralizing decks, case studies, and battlecards; CRM Enrichment for automatically updating accounts, contacts, and activity; ARYA, the AI GTM agent; Account Journey for personalized, adaptive multi-touch engagement; and Execution Analytics for tracking outbound execution across every rep, account, and play. Integrations span email and calendar (Gmail, Google Calendar, Outlook, Exchange, Office 365), data (Snowflake, AWS, OneDrive, SharePoint, Google Drive), CRM (Salesforce, HubSpot, Zoho CRM, Pipedrive, Freshsales), prospecting data providers (LinkedIn Sales Navigator, Apollo.io, Lusha, Cognism, Clearbit, People Data Labs, ZoomInfo, Full Enrich, Kipplo, Prospeo, BetterContact, Clay, Bitscale), sales engagement (Outreach, Salesloft, Apollo.io, HubSpot Sales), and signals (Google Analytics, rB2B, SEMrush, Ahrefs, Hotjar). Youkti states that other tools sync with your CRM while Youkti syncs automatically. Outcomes described on the site include NeoSOFT generating $50K+ pipeline growth, Samvidh increasing revenue 20% QoQ, and Deeploop increasing selling time by 3× with Youkti. The homepage says Youkti is trusted by high-performing teams including NeoSOFT, Samvidh Tech, Deeploop, and T-Hub, and that signal-based discovery spans 100M+ companies. Contact data, buying signals, and intent are described as free, with no card and no meter, and the product promises execution from day one rather than after weeks of setup, with a demo available. Concrete use cases shown in the product include protecting an at-risk deal such as Westbridge Industrial, an $180K ARR manufacturing account awaiting board approval for 16 days with a suggested meeting; prioritizing a high-intent account such as Northfield Systems, a Series B SaaS company with a new CRO, nine open sales leadership roles, new funding, and a 96/100 ICP score; reactivating a dormant account such as Crestview Health, last contacted 94 days ago, after a digital transformation initiative launched; opening an expansion opportunity such as Brookstone Manufacturing, with a renewal in 60 days and two business units engaged; and preparing for a strategic meeting such as Everline Retail, where a CIO joined tomorrow's meeting, triggering stakeholder map review, security question resolution, and talking point preparation. Youkti is aimed at leaders, AEs, and outbound reps, each getting a command surface tuned to their job: leaders and RevOps get intelligence on deals at risk, top competitors, and client objections; AEs and sales leaders get actions and preparation for strategic conversations; reps and GTM teams get outbound execution. The core takeaway is that Youkti turns account knowledge, relationship data, and live signals into specific revenue actions — telling each seller exactly what to do next, for every deal, every account, and every stage from first signal to last touch.

Gsheet CRM is a CRM application built on top of the Google Sheet that a team already uses. Rather than importing customer rows into a separate database, it connects to one spreadsheet and turns it into a leads board with follow-ups, reports, a team and automations. Every feature in the product reads from and writes to that single connected sheet — the same rows and the same columns — so there is no copy of the data living anywhere else. It is designed for businesses that already run their customer list in a spreadsheet, from real estate agents and travel agencies to clinics, recruitment firms, insurance agents, car dealers, fitness studios, salons, trading and wholesale operations, cash-on-delivery e-commerce sellers and consultancies. Its main purpose is to give a spreadsheet-driven business the structure and visibility of a CRM without a migration project. Plenty of small businesses already keep their customers in a spreadsheet, and for good reason: it is flexible, familiar and free. The trouble is that a spreadsheet is not a CRM. Rows scroll out of view and follow-ups get forgotten. There is no shared board showing which leads are new, contacted or won, no reporting unless somebody builds formulas, and no way to give a team member access to their own leads without handing over the whole file. Most CRM products solve this by asking businesses to move everything into a new system — import wizards, field mapping, data migration and the loss of a file the team already understands. Gsheet CRM takes the opposite approach. It keeps the spreadsheet as the database, in the customer's own Google Drive, and layers CRM behaviour on top of it, so nothing is migrated and there is nothing to learn twice. The centrepiece is a leads board built on the user's own sheet. Customers can be dragged between stages such as New, Contacted and Won, and every change lands straight back in the spreadsheet — same rows, same columns, with no copy kept anywhere. Because the board and the sheet are the same data, a team can keep working in either place. Alongside the board sits a follow-up system: a reminder can be put on any customer, and overdue, today and this-week follow-ups are gathered in one place. That means a customer does not get forgotten simply because their row scrolled out of view. According to the product's Product Hunt listing, reminders run inside the sheet itself, so they fire even when the app is closed. Reporting is generated without formulas. The funnel, what is stuck, wins by month and who is handling what are all computed live from the sheet every time the reports are opened — nothing has to be built and nothing can break. This gives a manager a current picture of the pipeline without maintaining a separate dashboard. Around that sits team management with boundaries. People can be invited with roles and teams, and the account owner decides whether each person sees everyone's leads, their team's leads, or only their own, while managers always see everything. That combination means a spreadsheet-based business can bring on staff without simply sharing the file with everybody, which is usually the point at which a spreadsheet stops working as a sales tool. Gsheet CRM also supports linked lists. Properties, courses or packages can be kept in their own tabs and linked to leads, and viewings and payments then roll up onto the customer's card by themselves — so a record for a customer shows what they have viewed or bought without manual entry. On top of this are small automations that trigger when a lead is created or changes stage. Within a single sentence of configuration, a rule can set a follow-up, add a note, or hand the lead to whichever team member currently has the fewest open leads. These rules keep repetitive admin out of the team's day: assignments stay balanced, notes get logged, and follow-ups get scheduled automatically at the moment a lead moves. The setup process is deliberately short and the product describes it as working in three minutes, with no import wizards, no field mapping homework and no sales call. The user signs in with Google — one tap, with the product asking only to see their email address at that point — and then picks their type of business from roughly a dozen ready-made setups. Gsheet CRM then creates a working sheet in the user's own Drive, complete with stages, dropdowns and an example lead already in place. From there the user simply works the board: adding leads, dragging cards and setting follow-ups, and can open the spreadsheet at any time because it is the same data. Businesses that already have a sheet full of customers can start from a ready-made sheet and paste their rows in, with ids and formatting handled for them. Data ownership is treated as a core part of the design rather than a policy page. Gsheet CRM uses Google's narrowest Drive permission, which allows it to open only the single spreadsheet that has been connected and never the rest of the user's Drive. Rows, notes and numbers stay in the spreadsheet; the company's servers keep only the wiring — which columns mean what, and when follow-ups are due — not the customer list itself. If a user disconnects the app, every row stays exactly where it always was, in a Google Sheet they own that continues to work without the product. For businesses whose customer list is their most valuable asset, this answers the most common objection to adopting a CRM. The outcome for a user is a customer list that behaves like a CRM while remaining a spreadsheet. Follow-ups no longer slip because they are surfaced in one place and fire from inside the sheet. Managers get live visibility of the funnel, what is stuck, monthly wins and workload per person without building a single formula. Teams get access boundaries so more people can work the same pipeline without everyone seeing everything. Repetitive tasks — assigning a lead, logging a note, scheduling a follow-up — happen automatically. And nothing has to be migrated, so the switch costs a few minutes rather than a project, with the reassurance that leaving is equally easy and the data stays in the Drive. The product lists the kinds of businesses it is built for: real estate, travel agencies, clinics, education, recruitment, insurance, car dealers, fitness studios, salons, trading and wholesale, cash-on-delivery e-commerce and consultancies. A real estate agency, for example, could keep properties in a linked tab, drag buyers through New, Contacted and Won, and see viewings roll up onto each customer's card. A recruitment or insurance business could set a rule so each new lead is handed to whoever has the fewest open leads. A cash-on-delivery e-commerce seller could chase overdue follow-ups from a single list. For teams selling on WhatsApp, Gsheet CRM also runs inside Libromi Team Inbox, where the team sees each customer's card beside the conversation and new WhatsApp leads land on the same board. There are two plans, both including the board, follow-ups, reports and automations. Startup is listed at $20 per month, discounted to $10 per month, and covers 5 team members, 5,000 leads and 1 linked table. Growth is listed at $50 per month, discounted to $25 per month, and covers 25 team members, 50,000 leads and 5 linked tables, plus the developer side: API access and webhooks. A free trial is included and no card is required to start, and both plans can be billed monthly or yearly. The site advertises 50% off for the first 999 customers as a limited-time launch deal, with the price a customer joins at locked in for life. Gsheet CRM is a web product that connects directly to Google Sheets and Google Drive, and integrates with Libromi Team Inbox for WhatsApp. Gsheet CRM's proposition is simple to state and unusual in the CRM market: the spreadsheet stays the database, and the CRM is layered on top of it. That means a leads board, follow-ups that do not slip, live reports, team roles and boundaries, linked lists and one-sentence automations all operating on the rows a business already keeps — in its own Drive, under Google's narrowest permission, with nothing to migrate and nothing to learn twice. For spreadsheet-driven businesses that have outgrown their sheet but do not want to hand over their customer list, it offers the structure of a CRM without giving up ownership of the data.

Nugget is a LinkedIn warm outreach tool for Founders and Solopreneurs who hate cold outreach. Its central premise is that your next client is already in your network: you upload your own LinkedIn data export once, and Nugget mines it into an actionable plan showing who is warm, what to say, and where your next opportunity is hiding. It is aimed at founders, solopreneurs and owners who have built a solid LinkedIn network of people who could refer them, hire them or open a door, but who cannot see who those people are, how warm they are, or what to say to them. Nugget states plainly that it uses no scraping, no cold outreach and no guessing. The problem Nugget addresses is a visibility gap inside LinkedIn itself. Your network is full of connections who could refer you, hire you or open a door, but LinkedIn does not show you who they are, how warm they are, or what to say. That leaves two unsatisfying options: throw generic messages and hope something sticks, or do nothing and wonder why the pipeline is dry. Either way, money is left behind. Cold outreach feels too salesy to even try, so founders either spray and pray or leave opportunities untouched. Nugget's founder frames this as a data problem rather than a selling problem: smart, capable founders leave money behind not because they don't know how to sell, but because they don't know how to use the data they already have. The product is organised around seven reports, and every report exists to fix one specific thing that is costing you opportunities. Three are free. The Open Door shows the pending invites sitting in limbo — who is still waiting on a yes from you, and who you reached out to and never heard back from. The Line-Up takes your hundreds of connections and sorts them by role — Founders, C-Suite, VPs and more — so you can actually find the person you are looking for. The Field Report surveys the land: who is actually in your network, how many connections match your ICP, and your top 10 untapped connections. Four further reports are unlocked with Gold credits. The Warm List replaces guessing about who to reach out to first — rather than defaulting to whoever messaged you last, it produces a single ranked list of who is actually worth your time right now, scored by real fit and relationship gap. The Hidden Nuggets Report finds the people already in your corner who are ready to refer or vouch for you but whom you are not leveraging, ranked by likely value and best ask type. Together these two reports shift the question from who is loudest in your inbox to who is genuinely best positioned to work with you. The Inbound Report asks whether your profile is ready to convert: if your dream client landed on your profile right now, would they stay or bounce? It is a check on how ready your profile is to turn a visitor into a client. The Outbound Report looks the other way, at what your LinkedIn activity is broadcasting to potential clients when you are not paying attention — what the market thinks of you based on what you post and do. Read together, they cover both sides of your presence on the platform: what prospects find when they arrive, and what they conclude from what you put out. Then there is the seventh report, The Gold Nugget. Seven reports tell you who is worth your time and why; The Gold Nugget tells you what to actually do about it. It is a full Business Development Action Plan — your complete pipeline, with prioritized targets, the warm relationships already in your corner, missed conversations, and outreach sequences ready to send. Nugget describes it as the treasure map, not just the reports. Running it also produces Nugget's signature metric, the BizDev Readiness Score: a score out of 100 that shows exactly where you stand and what to do to raise it. The score is built from five strengths — Network (who is in your network and how ICP-aligned they are), Profile (how ready your profile is to convert a visitor into a client), Content (what your content says when you are not in the room), Relationship (the warmth and depth of your active relationships) and Advocate (how many advocates are ready to go to bat for you). Because the score is broken into five named components rather than a single opaque number, it points to specific areas to improve. Getting your data into Nugget takes three steps. Step one: request your data on LinkedIn by going to Me → Settings & Privacy → Data Privacy → Request a copy of your data, selecting Complete rather than Basic, and clicking Request archive. Step two: two emails arrive in your inbox, because LinkedIn sends the export as two separate files, one called Basic and one called Complete. The Basic file arrives within minutes and can be dropped in right away, unlocking The Line-Up and The Field Report while you wait. The Complete file arrives within 24 hours with your messages and activity; dropping that in unlocks The Warm List, Hidden Nuggets, Inbound and Outbound. Step three: drag and drop each file into Nugget. There is no need to unzip either one — Nugget opens them automatically and merges everything in as it arrives, and you can also upload individual files if you prefer. Because everything Nugget produces is derived from your own export, every insight, every name and every next step is unique to you: this is your data, these are your people, this is your pipeline. The outcome is the end of guessing. Instead of spraying generic messages or doing nothing, you get a prioritised view of who is warm, why they matter and what to say — and with The Gold Nugget, outreach sequences ready to send. Nugget positions itself as an unfair advantage on LinkedIn, with no fluff and no jargon, just a clear picture of what is in your network and exactly what to do with it. Each report generates once per run and nothing is stored after you close the tab, so you save your report as a PDF if you want to keep it. Concrete workflows follow directly from the reports. A founder who has sent connection requests without following up opens The Open Door to see who is still waiting on a yes and who never replied, then acts on those half-open doors. A solopreneur planning a focused outreach push uses The Line-Up and The Field Report to identify Founders, C-Suite and VPs in their connections, check how many match their ICP, and start with the top 10 untapped connections. A founder who suspects supporters are already in the network runs The Hidden Nuggets Report to find advocates ready to refer or vouch, ranked by likely value and best ask type. Someone generating inbound interest runs The Inbound Report to test whether their profile would convert a dream client, and The Outbound Report to see what their activity broadcasts. And anyone who wants the business development work assembled for them runs The Gold Nugget for a full action plan. Nugget is built for Founders, Solopreneurs and Owners, and the founder behind it is Anna Ludwinowski, who describes herself as a founder with 33 years of business experience and a Business Strategist. Pricing starts free: the $0 plan requires no credit card and includes The Open Door, The Line-Up and The Field Report. Paid tiers are sold as report credits rather than a subscription. Explorer costs $79 for 1 report credit — one full run of the 4-report bundle covering Warm List, Hidden Nuggets, Inbound and Outbound, with the Gold Nugget not included. Connector costs $207 for 3 report credits ($69 each) and includes the Gold Nugget on every run, described as your business development work done for you. Closer costs $295 for 5 report credits ($59 each), with five full runs of the 5-report bundle and the Gold Nugget on every run, giving room to rerun as your network changes. Credits expire 18 months from purchase, there is no subscription and no auto-renewal, and founder pricing is noted for lock-in before Oct 9. Nugget's core promise is simple and specific: your next client is already in your network, and the tool shows you who to talk to, what to say, and where your next opportunity is hiding. By turning a LinkedIn data export you already own into seven targeted reports, a BizDev Readiness Score and a full business development action plan, it replaces cold outreach and guesswork with warm, prioritised outreach built on relationships you have already established.

COLDWAVE is an AI-powered cold calling platform that lets users launch outbound calling campaigns without technical expertise. The service enables founders, agency owners, and account executives to automate their cold calling process by simply uploading a contact list and pasting their sales pitch in plain English. The platform handles the entire calling process automatically. Users can upload lists via CSV, spreadsheet, or CRM integration. The AI agent makes calls, handles objections, books meetings directly on the user's calendar, and provides transcripts of all conversations. A single agent can make up to 500 calls per day. COLDWAVE eliminates the need for engineers, complex scripts, or technical setup. The interface is designed to be as simple as using Gmail, making it accessible to sales professionals without technical backgrounds. The platform targets sellers rather than engineers, addressing the gap between powerful cold calling tools and the non-technical users who need them. The service is currently accepting waitlist signups with special offers for early adopters. The first 100 founders receive 50% off for 6 months, and the first 50 signups get white-glove onboarding support. The platform is built with Supabase and is launching today.

ProspectB2B is an AI-powered B2B lead generation and sales prospecting platform designed for outbound sales teams. The platform enables users to find qualified B2B leads, discover ideal accounts, automate prospect research, enrich company and contact data, improve account targeting, and personalize cold email outreach at scale. It was built to replace generic lead databases and manual research with a smarter B2B prospecting engine. The platform offers structured lead management with clean data import and organization capabilities. Users can create multi-step outreach sequences (cadences) with scheduled follow-ups, ensuring systematic engagement with prospects. The system provides a centralized daily execution queue that shows exactly what actions to take, removing guesswork from the prospecting process. The task-based workflow turns every outreach step into an actionable item, creating discipline and improving follow-up consistency. ProspectB2B's approach focuses on execution rather than just providing large volumes of data. The platform emphasizes direct dial phone numbers and cell numbers that actually connect, improving connect rates on cold calls. Users report reaching decision makers they'd been trying to find for weeks through other platforms, with no dead numbers or wrong departments. The setup process takes approximately 20 minutes, allowing sales development representatives to have real calling lists the same afternoon. The platform helps sales teams generate pipeline, book meetings, and close more deals faster by turning outbound prospecting into a predictable, repeatable system. It ensures consistent action on leads rather than just providing contact information, making outbound sales more systematic and effective. ProspectB2B is designed for outbound sales teams, sales development representatives, and B2B prospecting teams who need reliable contact data and systematic workflow management. The platform serves as an alternative to tools like Apollo.io and Lusha, with particular strength in phone data quality and execution-focused features.

SaaSOffers is a verified deals platform designed specifically for startup teams. The platform provides access to over 500 verified SaaS deals from major providers including AWS, Notion, HubSpot, Stripe, Deel, Intercom, lemlist and hundreds more. Every offer on the platform is manually verified monthly to ensure deals are current and legitimate, eliminating the common problem of expired codes and fake discounts found on other deal sites. The platform includes several key features to help startup teams make informed purchasing decisions. Users can browse deals with real reviews and access side-by-side comparisons of different SaaS products. The platform maintains an accelerator directory with a built-in application tracker to help founders manage deadlines. A founder community and referral program are also available to users. SaaSOffers operates on a freemium model where basic browsing is free, while premium access unlocks higher-tier deals and full accelerator data. The premium tier normally costs $79 per year but was offered at 50% off ($39.50) during the Product Hunt launch. The platform has attracted over 10,000 teams since its launch. The service addresses a specific pain point for startup teams who need to stretch their budgets while accessing essential SaaS tools. By providing verified deals with real reviews and comparisons, SaaSOffers helps startups avoid the frustration of expired promotional codes and misleading affiliate links. The platform focuses on tools that startup teams actually use, making it a practical resource for early-stage companies looking to optimize their software spending.

Spare Parts Sales App is a ready-to-use app solution designed to elevate spare parts sales. The application focuses on simplifying spare parts business operations through digital tools that streamline inventory and sales processes. The app provides efficient inventory management capabilities, allowing businesses to track and manage their spare parts stock. It includes real-time tracking features that enable users to monitor parts availability and movement. The solution also incorporates secure payment processing to facilitate transactions between buyers and sellers. Key capabilities include inventory management, real-time tracking, secure payments, and delivering a seamless user experience. These features work together to create a comprehensive platform for spare parts sales operations. The app operates as a ready-to-use solution, meaning businesses can implement it without extensive customization or development time. This approach allows spare parts companies to quickly digitize their sales processes and improve operational efficiency. The platform offers free options, making it accessible to businesses of various sizes. By providing essential tools for inventory management, tracking, and payments in one application, it aims to reduce the complexity of managing spare parts sales operations.