Hisutu – Seamless Embedded Analytics for Your SaaS/Dev Tools

Hacker News

Hey HN! I realized that users, including myself, always crave more data insights within the products we use. However, companies often shy away from adding such analytics due to the complexities involved in data collection, infrastructure, and visualization. Hisutu was born to tackle this issue. It facilitates the swift embedding of analytics in products, providing what users desire without the usual hassles. As we step into our private alpha, we're inviting early users and design partners to join the journey. Interested? Join the private alpha and let's make analytics embedding a breeze together!

Visit product View on Hacker NewsOct 7, 2023

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Launch Intel predictions

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

75%75% 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: including · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% 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: users, way · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

19%19% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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