Latitude – Developer-first embedded analytics

Hacker News

Hey HN , I'm Gerard, co-founder @ Latitude. Over the past two years, we've been building data tools aimed at both technical and non-technical folks. After numerous tweaks and revisions, we chose to keep the best features, ditch the rest, and develop a code-first, open-source approach that's laser-focused on embedded analytics. Latitude is an embedded analytics framework designed with developers in mind. It integrates seamlessly with your database or data warehouse, leveraging SQL and straightforward frontend components. We'd love to hear your thoughts and are on the lookout for contributors!

Visit product View on Hacker NewsMar 25, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · 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: io · Missing: https docs, excited, just released

78%78% 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 · Missing: supports, reddit linkedin, podcasting

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

32%32% 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

23%23% 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

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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