Unifying Warehouse Metrics and Funnel Metrics in Hashboard

Hacker News

Today we're launching funnels and event analytics into public preview in Hashboard. BI tools have often struggled with event analytics, despite them being very important to the complete story of a business! We said NO LONGER and are developing first class in-warehouse event analytics, governed by the same semantic data models as the rest of your metrics. It's also the first feature we're launching on top of https://hashquery.dev/ , our new open source analytics engine. Frankly, I'm pretty stoked about how often a difficult-sounding extension on this event analytics work has slotted naturally into Hashquery's semantics. Makes me feel like we chose some good abstractions :) Schedule an onboarding session if you'd like to try it out. Hashboard has a free trial, so feel free to create an account and reach out to us!

Visit product View on Hacker NewsMay 30, 2024

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

84%84% 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

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% 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

24%24% 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.

Correct prediction on native model

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