Product-page analysis
Paste a product URL rather than configuring a list of keywords manually. Ownfeed reads the page to understand what the product does and who it is for.
What is Ownfeed?
Ownfeed is a social listening and lead-discovery tool for indie makers. Users paste their product URL, and Ownfeed reads the page to understand the product and its intended audience before searching public conversations for related needs.
The service combines posts from Reddit, X, Bluesky, and Hacker News into a daily timeline. Its AI filters the results for discussions where the product may help, allowing makers to review potential conversations and write their own replies instead of spending the day searching manually.
Features
Generated search terms
Ownfeed generates about 30 search terms from the product page and uses them to look for relevant public discussions.
Multi-source daily feed
The service searches Reddit, X, Bluesky, and Hacker News, then presents matching posts in one daily timeline.
AI relevance filtering
AI filters collected posts and keeps discussions where the product may help, including pain-point posts, tool requests, and relevant mentions.
Recent post discovery
The first feed includes posts from the previous 24 hours and is usually prepared in about 15 minutes, according to the product site.
Manual response workflow
Ownfeed identifies opportunities but leaves outreach to the user; it does not connect to or act through social accounts.
Use cases
Finding early users
A solo maker can paste a shipped product's URL and review a daily selection of people describing problems, requesting tools, or mentioning related products.
Reducing manual research
Instead of checking several platforms separately, a maker can use the combined timeline to identify discussions worth joining during a short daily prospecting routine.
Understanding customer problems
A product owner can look for direct pain-point descriptions and tool requests to learn how potential users describe their needs in public.
Doing context-based outreach
A maker can use relevant conversations as context for writing personalized replies, while keeping the outreach and account activity under their own control.
Pros and Cons
Pros
- Simple setup based on a product URL.
- Combines multiple public discussion sources in one feed.
- Uses AI to filter for conversations where the product may be useful.
- Shows recent opportunities from the previous 24 hours.
- Does not access social accounts or send replies automatically.
Cons
- The product is focused on finding relevant posts; users must write and send replies themselves.
- Beta sources are available only with the three-month option, arrive in small daily amounts, and are provided without guarantees.
- The service is designed around a daily timeline rather than automatic posting or replying.
FAQ
How do I set up Ownfeed?
Paste your product URL. Ownfeed reads the page, generates search terms, searches public posts, and prepares a feed of relevant posts, with the first feed typically ready in about 15 minutes.
Which sources does Ownfeed search?
Ownfeed searches Reddit, X, Bluesky, and Hacker News. The 3-month plan also includes small daily amounts from beta sources: LinkedIn, Threads, TikTok, Instagram, YouTube, and Product Hunt, with no guarantees for those sources.
Does Ownfeed post or reply on my behalf?
No. Ownfeed finds relevant posts, but it never posts or replies automatically. You write and send replies yourself, and Ownfeed does not access your social accounts.
Who is Ownfeed for?
Ownfeed is designed for indie makers who want to find people discussing problems their products may help solve without manually searching social platforms throughout the day.
How does Ownfeed pricing and cancellation work?
The trial costs $1 for one day and changes to $39 per month unless canceled first. A monthly plan costs $39, or a three-month plan costs $89. Plans renew automatically until canceled; cancellation is available from Billing in Settings.
Quick Facts
- Category
- Social listening and lead discovery
- Primary users
- Indie makers
- Core sources
- Reddit, X, Bluesky, and Hacker News
- Input
- Product URL
- Output
- Daily timeline of potentially relevant public posts
- Workflow
- Review posts and reply manually
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