Ownfeed
Shunsuke Nakagawa (Ownfeed) · Productivity · Marketing · Business
Ownfeed is a daily social feed for indie makers: paste your product URL and it surfaces Reddit, X, Bluesky and Hacker News posts from people who need what you built.
About Ownfeed
What Is Ownfeed
Ownfeed is a web app from Shunsuke Nakagawa, a solo developer based in Kanagawa, Japan. It targets a specific founder problem: you shipped something, launch day passed, and the people who need it never saw the post. Ownfeed looks for those people on public social platforms and puts their posts in one timeline.
Setup is a single field. You paste your product URL, and the app reads the page, writes keywords from it, then scans public posts on Reddit, X, Bluesky and Hacker News for ones where your product would help. The whole thing is a social listening feed built around a product page instead of a keyword list. Matches show up in your feed once a day. No keyword research, no boolean strings, no spreadsheet of subreddits to maintain.
That keyword list isn't locked. You can add, rename, or delete terms at any point, and the Keywords page reports which ones are producing hits. On a thin day, that report is the most useful screen in the product, since it shows whether your wording matches how buyers describe their problem.
The app doesn't touch your social accounts. It never posts, replies, or sends messages, and there are no email alerts waiting in an inbox. You open the original thread and answer yourself. That keeps the risky part, outreach, under your control. The cost is speed: a lead can sit in your feed for a few hours before you act on it.
Two practical limits come with the price. One subscription covers one product, so a studio with several apps needs several plans. And the feed refreshes about once a day, so this is Reddit monitoring for a morning routine, not a real-time alert system.
Getting Started
- Sign in at ownfeed.dev with Google or an email link. Accounts are passwordless, and you need to be 18 or older.
- Paste your product URL. Ownfeed reads the page and drafts keywords, so there's no setup wizard to finish.
- Start the $1 one-day trial to see the first feed, and cancel before the day ends if it isn't useful. After that it renews at $39/month.
- Open a promising post, follow the link to the original thread, and reply there in your own words. Use Save or Hide in Ownfeed to shape tomorrow's feed.
- Check the Keywords page when a day comes back thin, then rename or add one term and see what changes.
Product Information
A quick look at Ownfeed's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Solo founders and indie makers
- Small software teams without a marketing hire
- Freelancers who sell a narrow service
Tasks
- Finding threads where someone asks for a tool like yours
- Replacing a morning of manual Reddit monitoring
- Watching competitor mentions
- Testing how people phrase a problem
Scenarios
- The weeks after a launch that got little traffic
- A slow month when growth stalls
- A solo builder with no audience
Key features
Feed from a single URL
You give Ownfeed a product page and nothing else. The app reads the copy, derives a keyword set, and starts collecting. That keeps onboarding short enough to finish on a phone, which matters when the alternative is a keyword spreadsheet and three hours of reading subreddit rules.
AI filtering on top of keywords
Keyword search alone returns arguments, memes, and posts about unrelated products with similar names. Ownfeed reads each match and keeps the ones where your product helps, so the feed leans toward people describing a need rather than people discussing a topic. The filter isn't perfect, and you'll still hide a few items a week.
Four public sources in one timeline
Reddit, X, Bluesky and Hacker News share one feed instead of four tabs, so Reddit monitoring, X monitoring, Bluesky monitoring and Hacker News monitoring sit in the same place. Every plan includes all four. The three-month plan adds beta sources: LinkedIn, Threads, TikTok, Instagram, YouTube and Product Hunt, delivered in small daily amounts with no guarantee of volume.
Editable keywords with hit reporting
Keywords are a starting point, not a setting you configure once. Add a phrase when a new use case appears, rename one when the wording feels off, delete the ones that only produce noise. The Keywords page ties each term to its hits, so changes follow evidence rather than instinct.
Save and hide controls
Two buttons decide what comes back. Save marks a thread you plan to answer or revisit. Hide removes a post type you never want to see again. Over a few weeks the feed drifts toward your actual niche, which is the closest thing to training the product without a settings panel full of toggles.
One product per subscription
Each plan follows a single product URL, and that constraint is deliberate. Mixing several products in one feed blurs the keyword set and the filter, and a founder ends up reading posts for the wrong audience. A second product means a second subscription, priced the same way.
Pros and cons
Pros
- Setup takes one URL and a few minutes, with no keyword research required before the first feed.
- The AI filter removes most off-topic posts, so a daily review fits into a coffee break.
- No access to your social accounts and no automated replies, which keeps platform rules and your reputation out of the tool's hands.
- Pricing is flat and readable: $1 for a day, then $39/month or $89 per three months, cancel anytime.
- Source coverage is broader than Reddit alone, and Bluesky and Hacker News add threads that a Reddit-only search misses.
Cons
- One product per plan means agencies and multi-product studios pay for several subscriptions.
- Collection runs about once a day, so fast-moving threads can be hours old by the time you see them.
- There's no free tier. The $1 trial is short, and judging a feed takes more than one day for most products.
- Discovery stops at the link. There's no CRM, no reply drafting, and no tracking of what happened after you answered.
Frequently asked questions
It builds a daily feed of public posts from people who might need your product. You paste a product URL, Ownfeed writes keywords from the page and scans Reddit, X, Bluesky and Hacker News, then shows you the matches with links to the originals.
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