Ke

KeepYard – A free open-source Pocket alternative

Hacker News

KeepYard – A free open-source Pocket alternative

I'm a big Pocket user and was sad to hear they were shutting down. As an exercise, I challenged myself to vibe code and open source an alternative over night. It has a downloadable chrome extension, web UI for managing bookmarks, categories, tags, and favorites. Optional AI Summary feature is pretty rough but you can provide your own OpenAI key. Added a Glasp integration where you can push bookmarks into your Glasp "second brain" so you or your friends can ask questions against it. It's a relatively simple tool, and this is far from perfect (ran into CORS issues before bed, and I suspect there are security issues), but I find it insightful to see how far you building with just natural language in 24 hours.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, openai, code · Missing: mac, agents, macos
96%96% 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
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
51%51% 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
47%47% 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
14%14% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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