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Reddit browser for MCP clients – works with any AI assistant

Hacker News

Reddit browser for MCP clients – works with any AI assistant

Built this to give AI assistants native Reddit access. No more copy-pasting links. You can ask things like "what's the sentiment on TypeScript vs JavaScript in r/webdev" or "analyze the top posts about GPT-5 today" and get instant analysis. Technical: TypeScript, 3-tier rate limiting (anonymous works fine for most), LRU cache under 50MB. Works with any MCP client, not just Claude. Someone used it to track reactions to H-1B changes across different country subreddits in real-time - that was pretty cool to see. Open to feature requests and contributions welcome! Would love to hear how you might use this or any Reddit API patterns you've found useful.

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Actual performance

10points
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: claude, mcp, open · Missing: mac, agents, macos
94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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