Cl
Clear to Spend – a simple YES/NO helper for spending decisions
Hacker NewsClear to Spend – a simple YES/NO helper for spending decisions
I built a small web tool for moments when you’re stuck deciding whether to spend. Clear to Spend gives a simple YES or NO based on your current energy, time, and mood. It doesn’t track money, give advice, or tell you what’s “smart”. The goal is to remove unproductive hesitation — not to make decisions for you. Feedback is very welcome.
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting28%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, revenue26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
T,
T, The simple tmux helper50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
T, The simple tmux helper
Hacker News2Pa
Paradux – A Redux Helper for Dynamically Adding Reducers32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Paradux – A Redux Helper for Dynamically Adding Reducers
Hacker News1Ma
MapKitJS helper25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MapKitJS helper
Hacker News3Ki
Kinesis Advantage2 Remapping Helper25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Kinesis Advantage2 Remapping Helper
Hacker News4ne
next-mongooseless – nextjs severless mongoose helper functions21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
next-mongooseless – nextjs severless mongoose helper functions
Hacker News1sm
smarturls for Django (regular expression helper)40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
smarturls for Django (regular expression helper)
Hacker News2Pa
Pagination helper for Handlebars25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pagination helper for Handlebars
Hacker News1pooptheapp57%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-projectBuxfer71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Buxfer helps you make better spending decisions.
Indie Hackerscommitment-full-timeSpearTrades28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clear crypto decisions, powered by Spears AI
Indie Hackers1ai