Analyze user feedback at scale – Essense

Hacker News

Hey everyone! Yahia here, wanted to show a product i recently built. Essense handles analyzing user feedback at scale with just a few clicks. 1- Paste in a url from appstore, playstore, trustpilot, g2, or connect your intercom, hubspot, or typeform account in a single click. 2- Select type of analysis report wanted 3- Insights! It includes a 1 month no credit card required free trial right off the bat. I'd love to know your thoughts!

Visit product View on Hacker NewsAug 11, 2023

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

85%85% 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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% 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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · 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

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

Correct prediction on native model

Similar products

Blatta – User Feedback in Seconds38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Blatta – User Feedback in Seconds

Hacker News8

The #1 Reason Your Product Fails – Ignoring User Feedback38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The #1 Reason Your Product Fails – Ignoring User Feedback

Hacker News2

FeedbackPoster65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

User feedback software

Indie Hackers1analytics

Automate User Feedback36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate User Feedback

Hacker News1

UserInsights – Get 5 minutes of real user feedback39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

UserInsights – Get 5 minutes of real user feedback

Hacker News31

A way to respect all your user feedback and your time44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A way to respect all your user feedback and your time

Hacker News3

askghost33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get real user feedback with one email.

Indie Hackerscommitment-side-project

Usersnap – Collect User Feedback40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Usersnap – Collect User Feedback

Hacker News1

Userbee63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Grow your app with user feedback

Indie Hackers2growth

A user feedback system with no dashboards38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A user feedback system with no dashboards

Hacker News1

Browse all products Analyze your launch