Psql with Copilot Features

Hacker News

Hi HN, We’re building PXL ( https://pxlapp.com/ ), a psql client with support for copilot like features (inline code complete, query optimisation & sql assistant). Here's the Github repo if anyone is interested https://github.com/pxlapp/postgres/tree/pxl PXL helps in the following manner: 1- It has context of your DB schema so it can produce inline completion suggestions 2- The sql assistant can improve developer workflows so you don't need to keep going back to ChatGPT 3- It's can be integrated into other clients (check our Github for beekeeper-studio demo) We’re still pretty early in development and we really want to improve the sql developer experience. Any feedback would be greatly appreciated!

Visit product View on Hacker NewsJul 26, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: context, chatgpt, code · Missing: mac, agents, macos

74%74% 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

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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

35%35% 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

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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