Definite – Get a data stack (database, ETL, and BI) in one app

Hacker News

Definite is a data-stack-in-a-box. We give you ETL (connectors to 500 data sources), a data warehouse, and BI (reports & dashboards) in one app. We have a built-in modeling layer for core metrics and an AI assistant to answer questions about your business. Here's a 3 minute demo: https://www.youtube.com/watch?v=_YjXXljXV9I Since we're handling ETL, we already know what each source looks like and have pre-built data models for them. This means you can instantly build a report that connects both Hubspot and Stripe data or Klaviyo and Shopify data. We're working closely with design partners right now. As part of this, we'd invest in getting your first dashboards set up while minimizing the load on your team. We charge 5$ per hour of compute and have discounts at higher tiers of usage.

Visit product View on Hacker NewsNov 29, 2023

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

88%88% 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

70%70% 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

62%62% 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 · Missing: mobile apps, ios, personal

46%46% 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 · Strong signals: shopify · Missing: arr, mrr, revenue

23%23% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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