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Sopho - Open Source Business Intelligence Platform

Hacker News

Sopho - Open Source Business Intelligence Platform

I got tired of the increasing gap between the open source and closed source products for business intelligence and data analytics in terms of product quality, performance and AI features. Hence, I started building Sopho. Currently, Sopho has the following features: - Canvas: integrated notebook and dashboard in one place - Chart Cells: configurable bar, line, pie, and metric charts for data visualization - SQL Cells: write and execute SQL powered by CodeMirror editor and TanStack Table - Keyboard Shortcuts: global search (Cmd+K) and notebook editing shortcuts - Connections: PostgreSQL, Supabase, and SQLite with encrypted credential storage - Authentication: username/password with session-based access and refresh tokens - Deployment: Docker image with configurable environment variables - Documentation: live Fumadocs-based docs site There is a Docker image with sample data, dashboards and notebook which works out of the box. I am planning to spend some time on the AI features next to get the bases right. Would love some feedback!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, dock, visual · Missing: mac, agents, macos
94%94% 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
85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
56%56% 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 · Missing: mobile apps, ios, personal
43%43% 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
26%26% 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
14%14% 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.

Incorrect prediction on native model

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