Embeddable customer facing analytics – MIT licensed

Hacker News

I have extracted this module from a SaaS application I have been working on for some years, it is based on Drizzle, and the UI components just React + Tailwind. The idea is that it allows you (if you have an existing DB and Drizzle schema) to very quickly offer a self service dashboarding / analytics (or just use it yourself to add reports / dashboards / data widgets in a maintainable way). It's a module that can be embedded in any typescript app to provide a rich API and query language, and a set of pre-built React components that you can optionally use (or copy) to build your UI. Comments and thoughts very welcome!

Visit product View on Hacker NewsAug 20, 2025

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

93%93% 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

74%74% 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

60%60% 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: widgets, way · Missing: mobile apps, ios, personal

42%42% 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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

Similar products

Upsolve AI66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customer-facing analytics as a service

Product Hunt+487Developer Tools

Indicative42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Customer Analytics

Indie Hackers1analytics

Mutiny79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create anything customer-facing. Personalized and on-brand.

Product Hunt+125Sales

SayData63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build Truly Self-Serve Customer-Facing Analytics using AI

Indie Hackerscommitment-full-time

Keiki88%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build one customer-facing AI agent and launch it everywhere

Product Hunt+108Messaging

Soda46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Soda is the knowledge layer for customer-facing teams

Indie Hackers1saas

Fidloy79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Relationship infrastructure for customer-facing businesses.

Indie Hackers1advertising

Delphi – Build customer-facing AI data apps (that work)76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Delphi – Build customer-facing AI data apps (that work)

Hacker News3

Frolic – open-source Back end for your Customer Facing Dashboards77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Frolic – open-source Back end for your Customer Facing Dashboards

Hacker News4

Crossdeck49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Revenue, analytics, errors, and entitlements in one customer

Indie Hackerscommitment-side-project

Browse all products Analyze your launch