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Yesterday's Top Launches: 5 Tools from July 9, 2026

Several new tools launched this week help brands optimize their visibility in AI search results, with Scribble Network focusing on ensuring they are cited as sources.

Yesterday's Top Launches: 5 Tools from July 9, 2026

Yesterday brought another interesting batch of product launches, continuing the steady stream of new developer tools and applications aiming to solve very specific, modern problems. From optimizing how brands appear in AI search results to capturing the nuances of in-person conversations, the focus was on leveraging automation and intelligence to fill gaps left by traditional methods.

Scribble Network

With more people asking AI assistants for recommendations instead of typing queries into a search bar, a brand’s visibility in those AI-generated answers has become critical. Scribble Network tackles the challenge of being the source that an AI cites. The problem it addresses is straightforward: most brands have no clear idea if they are being recommended by AI or how to improve their standing. Existing tools might give you a score, but they often stop short of providing a concrete plan to become a go-to source.

Scribble’s approach is a full-cycle solution. It starts with an audit to pinpoint exactly where a brand is invisible across different AI engines. Then, it moves to content creation, generating topics and producing material designed to be easily indexed and cited. The clever part is its distribution network of 50,000 creators who are paid specifically when their content is used as a source by an AI. This performance-based model aligns incentives perfectly—creators are motivated to produce content that is genuinely useful and authoritative enough for an AI to reference.

For marketing teams focused on SEO and analytics, this is a direct path to influencing a new discovery channel. It’s a proactive system for brands that want to be the answer, not just hope they appear in the results.

Katalyst

Sales teams using Salesforce are all too familiar with the drag of administrative work. The time spent logging calls, updating fields, and prepping for meetings is time not spent selling. Katalyst is an AI sales agent built to automate that entire layer of CRM management. It works continuously in the background, processing data from calls, emails, and calendars to keep Salesforce records current.

Its features are comprehensive. It automatically updates records, surfaces relevant signals like hiring trends at a target account, and even prepares pre-meeting briefs. New capabilities include a pipeline view with Kanban boards and a meeting recorder that can join calls on platforms like Zoom and Teams. The AI is designed to learn over time, starting by requiring approval for updates and gradually automating more as it proves its accuracy.

The benefit for sales reps is clear: more time for high-value conversations. For sales leaders, it promises a cleaner, more accurate pipeline. The integration is key; it works within existing Salesforce permissions, which should ease adoption concerns for security-conscious enterprises.

Dupely

Online shopping is often a game of “who can you trust?” Dupely acts as a trust layer for consumers, fighting back against artificial price drops, fake reviews, and resellers marking up identical products. It’s built for the savvy shopper who’s tired of deceptive practices.

Its DupeScore feature is particularly useful, identifying the exact same product sold at different price points across various listings. The “Trust This Price” feature analyzes 90 days of price history to flag fake discounts designed to create false urgency. Seller Badges, earned through real buyer feedback, help identify reputable vendors based on shipping speed and accurate descriptions.

The value here is in its specificity. It aims to compare apples to apples, considering unit pricing and product condition to ensure you’re not misled by a technically cheaper but inferior offer. As a free browser extension and mobile app, it’s an accessible tool for anyone who shops online regularly.

Mira

Traditional qualitative research has a fundamental limitation: the “Say-Do Gap.” What people say in an interview often differs from what they truly feel. Mira is an AI research platform designed to capture that gap by analyzing not just words, but emotions. It uses facial coding, voice emotion AI, and webcam eye-tracking during dynamically moderated interviews to get a holistic read on a participant’s genuine reactions.

Beyond just conducting interviews, Mira handles the entire research cycle—planning studies, recruiting from a panel of 100 million people globally, and then automatically analyzing the data to extract themes and generate reports. The ability to triangulate verbal responses with non-verbal cues could provide much deeper insights into user experience or brand perception.

For product managers and UX researchers at large companies, this offers a way to move beyond self-reported data. The automation of recruitment and analysis is a significant time-saver, though the real differentiator is the emotional insight.

Ellis

While AI notetakers for video calls are common, in-person conversations have been left behind. Ellis is an AI notetaker built for the real world, capturing conversations from coffee meetings, doctor’s appointments, or sales calls using just an iPhone or Apple Watch.

Its standout feature is accurate speaker identification in noisy, real-world environments, which is a harder problem to solve than on a clean Zoom recording. After a conversation, you can ask Ellis questions like, “What was the action item from my meeting?” and it will pull the answer from the transcript. It’s also privacy-focused, deleting recordings after transcription.

For professionals who spend a lot of time in one-on-one meetings—therapists, salespeople, journalists—this could be invaluable for ensuring details and commitments are never missed. It turns casual conversations into queryable data.

Quick Links

For more details, you can explore the products directly: