Visual data language (no-code SQL for non-technical ppl)

Hacker News

https://human.software <- don't know how to make this a link, my apologies. Only supported DB as a data source is Postgres. Note 1: to create account enter your email and press Login/Signup. It will create a new account if it does not exist Note 2: Ignore the "Cannot connect to datasource" error message Note 3: When you create a datasource, the tool connects to the DB and downloads the schema. Note 4: There is a bug in Top10, don't use it. Note 5: you can see the generated SQL in the console if you want to This is a tool I built to extract data from relational databases more easily, and I think/hope non-tech people will appreciate it. I know the UX needs a lot of love but I am happy with the overall process of asking a question and getting the answer. The FAQ section is not updated from the template I used :-)

Visit product View on Hacker NewsApr 20, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, email, visual · 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: exist, io · Missing: https docs, excited, just released

68%68% 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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% 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

30%30% 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

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

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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