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ChartDB Cloud – Visualize and Share Database Diagrams

Hacker News

ChartDB Cloud – Visualize and Share Database Diagrams

Me and Guy (@guyb3) built ChartDB to generate ER diagrams from your database without a need of any database access (via query/sql/dbml). We started with an open-source version, and after seeing a lot of use we decided to make a cloud version. Our OSS launch (1y ago) - https://news.ycombinator.com/item?id=41339308 Now we’re launching ChartDB Cloud - built for teams: - Embed ERDs into docs, dev portals, or Miro/Notion etc. - Collaborate in real-time (with live cursors like Figma) - Keep diagrams always in sync with your database - Organize large, messy schemas without pain - Export DDL in multiple SQL dialects (solved deterministically) - AI assistant to brainstorm and generate new schema objects or schema changes We designed it so working with databases feels less like a chore and more like a creative process. Would love feedback - especially from teams dealing with messy schemas or outdated docs. https://app.chartdb.io

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, new, visual · Missing: mac, agents, macos
89%89% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
67%67% 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 HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: visualize, way · 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 · Missing: plus, platform, intuitive
31%31% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: collaborate · 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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