SQLify – Query all your apps and APIs using SQL

Hacker News

Hello HN, We are happy to announce SQLify, a new product from the team behind Kantree ( https://kantree.io ). Some time ago, we had the request to access data from Kantree through BI tools. We realized one of the easiest way to achieve this was to provide an SQL interface, compatible with PostgreSQL, so that data analyst could query Kantree data like they're used to. No need to learn the details of our API. We realized this process could be useful for many other uses cases. SQLify was born ! It is a superset of SQL that allows you to query APIs. We provide integrations with popular tools to easily query them. It feels like all your data is accessible inside a single database. No more complicated ETL pipelines our synchronization processes. It becomes really easy for smaller teams to do data analysis. Imagine joining data from stripe, airtable, some internal databases, etc... SQLify is compatible with the PostgreSQL protocol and so can be used through thousands of existing solutions. This is a BETA product. We are still actively developing it and there are many limitations at the moment. But we believe there's a lot of potential using this novel approach. Let us know what you think of it, we are excisted to gather feedback !

Visit product View on Hacker NewsOct 23, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, stripe, new · Missing: mac, agents, macos

90%90% 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: compatible · Missing: supports, reddit linkedin, podcasting

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

80%80% 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 · Strong signals: apps, way · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

12%12% 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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