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Bulkgrid – Search websites and GitHub repositories from your AI agent

Hacker News

Bulkgrid – Search websites and GitHub repositories from your AI agent

Bulkgrid gives AI agents searchable knowledge from sources you choose and trust. You can use existing public sources or index a website or GitHub repository. Bulkgrid will process the content, check for changes automatically and provide relevant passages with references for your AI agent. The sources can also be curated into collections if you have agents that are doing recurring work and need reliable knowledge for that. Private repositories can be connected through GitHub and stay private to your workspace. You can connect through MCP, REST API or TypeScript and Python SDKs or use our CLI. Any feedback would be welcome! Website: https://bulkgrid.com Repository: https://github.com/bulkgrid/bulkgrid

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, mcp · Missing: mac, macos, cursor
91%91% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: recurring · Missing: arr, mrr, revenue
16%16% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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