CV

CVAT-DATAUP – a more data-centric version of CVAT

Hacker News

CVAT-DATAUP – a more data-centric version of CVAT

Hi HN! I’ve been working on CVAT-DATAUP, an open-source fork of CVAT. It’s fully compatible, but I’m pushing it beyond annotation — with a cleaner UI, better dataset insights, and easier job management. The main goal is to turn CVAT into a data-centric platform, where agents and pipelines help with annotation, validation, and dataset quality — putting data at the heart of the workflow. Repo: https://github.com/dataup-io/cvat-dataup Medium post: https://medium.com/@ghallabi.farouk/from-annotation-tool-to- ...

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Actual performance

3points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, open · Missing: mac, macos, cursor
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
36%36% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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