Mindspend

Mindspend

Product Hunt

Track how you feel about spending, not just the numbers

Share card

Actual performance

131upvotes
13comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, 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
40%40% predicted probability of success on AppSumo, 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Im
Implementing a trackball with rational numbers38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Implementing a trackball with rational numbers

Hacker News11
Ra
Rational numbers for Java, why not?51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rational numbers for Java, why not?

Hacker News6
Pr
Primeval Numbers52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Primeval Numbers

Hacker News25
20
2048 without numbers50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

2048 without numbers

Hacker News54
pooptheapp
pooptheapp57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get serious about spending less.

Indie Hackerscommitment-side-project
La
Launched my first react app (to track your spending)41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Launched my first react app (to track your spending)

Hacker News4
Ahmedabad Call Girls
Ahmedabad Call Girls13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

You are never going to feel lonely and exhausted while you..

Indie Hackerscommitment-full-time
Tr
Transcendental numbers for arbitrary-length One-Time Pads46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Transcendental numbers for arbitrary-length One-Time Pads

Hacker News2
Pr
Prime numbers generator43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prime numbers generator

Hacker News2
SerializeIt
SerializeIt47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Add and track serial numbers in Shopify

Indie Hackers1apis