Nexa, AI-powered analytics for startups

Hacker News

Excited to share Nexa's public beta and get feedback from the HN community! -- The Problem Companies today spend way more time querying and analyzing data than acting on it. That needs to be flipped. At startups without data teams (who we’re built for), engineers waste precious time writing SQL queries for others (e.g. Growth, Product, Sales), and then those teams spend hours manually analyzing and formatting the data to make decisions. All of this is time we can give back with AI. -- Introducing Nexa With Nexa, connect your MySQL / PostgreSQL database or upload CSVs and extract insights in plain English, not code. These insights can be added to Notion-page like dashboards and shared with your stakeholders instantly. Behind the scenes, our AI SQL agent writes queries, generates summaries, creates visualizations, and suggests prompts to help you uncover insights you didn’t think of. You might also find that uploading a CSV and exploring your data in Nexa is much faster and more pleasant than writing IF statements in sheets and copy / pasting charts and tables from sheets to docs ;-). -- Try it out and let us know what you think. And a HUGE thanks for the support and feedback!

Visit product View on Hacker NewsMar 21, 2024

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

89%89% 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 · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

51%51% 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: way · Missing: mobile apps, ios, personal

31%31% 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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

21%21% 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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