Mapster

Mapster

Indie Hackers

Collect Feedback with In-Product Surveys

I wanted a affordable survey tool

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
35%35% predicted probability of success on BetaList, 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
20%20% predicted probability of success on Hacker News, based on ML models trained on real launch data.
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.

Incorrect prediction on native model

Similar products

Ti
Tiny-miny-micro-surveys to collect product feedback44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tiny-miny-micro-surveys to collect product feedback

Hacker News2
Exakt
Exakt44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect ongoing qualitative feedback in-app.

Indie Hackers1analytics
Betasort
Betasort37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The quickest way to collect & analyze product feedback

Indie Hackers2b2b
Feedier
Feedier47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The end of long and boring surveys - collect real feedback

Indie Hackerscommitment-full-time
bugfeedr
bugfeedr35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect feedback from your customers for your SAAS product w

Indie Hackers
Vi
VisitorEngage - Feedback, notifications & Surveys30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VisitorEngage - Feedback, notifications & Surveys

Hacker News1
Userback
Userback18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect and manage feedback to build the ultimate product

AppSumo80
Mo
Moored – Collect feedback from your team52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Moored – Collect feedback from your team

Hacker News1
BugFeedr
BugFeedr44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect product feedback from your clients and users.

Indie Hackers3communication
Joto Feedback
Joto Feedback34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collect feedback the modern way.

Indie Hackers1b2b