Open-sourcing my failed startup Buzee – A file search application

Hacker News

Buzee is a file search application that helps you find your files effortlessly. As a modern-day knowledge worker, I have several thousand documents, presentations and other files on my computer. I built Buzee in my free time to help me weave my way through this maze. I have been using it pretty much everyday since the day I built it - and I love it! I thought I could turn Buzee into a startup. I reached out to offices and helped set it up for them. But it didn't pan out. I am now letting go of this project because I have other priorities in life. Please feel free to do with this project as you wish. I am happy to help you get started with the codebase. Do share what you build. I would love to see it! Cheers

Visit product View on Hacker NewsDec 14, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: computer, presentations, using · Missing: mac, agents, macos

84%84% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · 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

32%32% 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

12%12% 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.

Correct prediction on native model

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