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PondPilot Widget – Interactive SQL snippets for any website

Hacker News

PondPilot Widget – Interactive SQL snippets for any website

Turn any SQL code block on your website into a runnable query editor with just a <script> tag. Powered by DuckDB WASM running entirely in the browser – no backend needed. Perfect for documentation sites, tutorials, and blog posts. Features: • Full SQL analytics engine (DuckDB) running client-side • Syntax highlighting with live editing • One-click query execution (or Ctrl+Enter) • Works with any static site – just add the CDN script • Only 23KB minified, loads DuckDB on-demand • Dark/light theme support Try it: https://widget.pondpilot.io GitHub: https://github.com/pondpilot/pondpilot-widget

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Actual performance

5points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: ide, 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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.

Incorrect prediction on native model

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