Ownfeed

Ownfeed is a tool that builds a daily social feed of posts from people who appear to need your product. You paste your product's URL, and Ownfeed reads that page to learn what the product does and who it is for. From there, it searches public posts across Reddit, X, Bluesky and Hacker News and uses AI to keep only the posts where your product helps. The result is a personal timeline of relevant posts, refreshed every day, that you scroll for about five minutes and reply to yourself. It is built for indie makers. The problem Ownfeed addresses is stated plainly on its own site: you built it, you shipped it, nobody came. Launch posts get removed by moderators. Searching for people to talk to eats your whole day. A good product exists, but no one who needs it can see it. The site shows real examples of the frustration: a maker asking how to find the first 10 users without spamming, another spending three hours on Reddit looking for people who might need their app, and another wishing for a tool that tells them when someone asks for something like their product because they keep finding those threads a week too late. Ownfeed's core observation is that the people who need your product are writing about their problem today, you just cannot see them. The product exists to close that visibility gap without keyword setup, alert inboxes or automation. Setup is deliberately minimal. You paste your product's URL, and that is the whole setup. Ownfeed reads your page to learn what the product does and who it is for, then writes about 30 search terms to find your people. Your first feed is ready in a few minutes, with posts from the last 24 hours. The site's own working view shows the process for a sample product: reading the product page and generating 30 search terms, then searching four sources at once. Discovery across sources is the second core capability. Ownfeed searches Reddit, X, Bluesky and Hacker News, and the sample feed shows example result counts per source — 9 posts from Hacker News, 11 from Bluesky, 42 from Reddit and 18 from X in that illustration. AI then picks the posts that matter, keeping only the ones where your product helps. The feed can be filtered between 'Today' and 'All relevant.' The example posts shown include freelancers asking how to chase unpaid invoices, a solo designer looking for a dead-simple invoicing app, a Bluesky post about third reminder emails, an Ask HN thread about late payments, a mention of a specific invoicing tool, and a Reddit request for an invoicing app that sends polite reminders automatically. These illustrate the kinds of posts Ownfeed surfaces and are labeled as pain points, tool requests and mentions. Reading and replying is the third step, and it is intentionally manual. You spend five minutes in your feed each morning and reply to the people you want to talk to. Ownfeed states there is no alert inbox and no keywords to set up, and that you write the replies, not an AI — which is why they land. The FAQ reinforces this: Ownfeed never posts or replies automatically, and it never touches your social accounts. You reply in your own words, as usual. Ownfeed's approach differs from keyword alerts and monitoring inboxes in a few ways the site makes explicit. Instead of you defining keywords, Ownfeed derives roughly 30 search terms automatically from your product page. Instead of delivering an inbox of alerts to triage, it delivers a daily timeline you scroll. Instead of automating outreach, it deliberately leaves the writing to you, on the stated reasoning that human-written replies are the ones that land. The whole workflow is framed as three steps — add your product, AI finds your people, scroll and reply — and as a five-minute-a-day habit. For users, the stated outcome is time saved and better-targeted conversations. Instead of spending hours hunting Reddit for people who might need your app, you get a ready feed of posts where your product helps, drawn from the last 24 hours. Instead of finding relevant threads a week too late, you see people writing about their problem the day they write it. And because you write the replies yourself, there is no automated spam risk to your account and the replies are more likely to land. The concrete use cases shown on the site are indie makers shipping a product and looking for the first users, freelancers and solo operators searching for tools, and makers replying to pain-point threads, tool recommendation requests and mentions of their product. In the sample feed, the product being monitored is an invoicing tool, and the relevant posts are freelancers with late invoices, solo designers wanting a simple invoicing app, an Etsy seller needing automatic polite reminders, and a Bluesky user mentioning they switched invoicing to that tool for automatic reminders. In general terms, Ownfeed suits anyone who wants to find and reply to public conversations where their product is the answer. Pricing starts with a $1 one-day trial that shows a day of your feed before you decide; $1 today, then $39/month starting the next day unless you cancel before then. The monthly plan is $39/month, renewing monthly and cancellable anytime from Billing in Settings. The 3-month plan is $89 every 3 months. Every plan includes one product and a daily timeline, and the 3-month plan additionally includes beta sources: LinkedIn, Threads, TikTok, Instagram, YouTube and Product Hunt, delivered in small daily amounts with no guarantees while in beta. Every option renews automatically until cancelled; prices are in USD and tax may be added at checkout. The trial, monthly and 3-month options all include Reddit, X, Bluesky and Hacker News. Ownfeed is a web product accessed through the browser. In short, Ownfeed's value proposition is visibility without automation: paste your product URL, get a daily feed of posts from people who need what you built, and spend five minutes replying in your own words.