I made a tool to visualize MySQL EXPLAIN query plans

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I was always confused when trying to optimize a slow MySQL query as the output of the EXPLAIN command is so cryptic and totally useless. And there wasn't any tool that could help visualize what a query does - compared to PostgreSQL which has multiple... So, I started developing such a tool for MySQL. But boy, I didn't expect how complicated this is in reality. There were so many things hiding in tiny information pieces that I had to understand. But it also confirmed me in that a tool should try to understand the EXPLAIN output and not a human as it is too easy to oversee something. After months of work, I've now finished the first iteration of my vision. Whats your opinion about it?

Visit product View on Hacker NewsJul 12, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual, tiny, plain · Missing: mac, agents, macos

80%80% 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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: month, visualize, way · Missing: mobile apps, ios, personal

51%51% 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

25%25% 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

13%13% 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.

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