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Calculating prices in work hours, not dollars

Hacker News

Calculating prices in work hours, not dollars

Ever looked at a price tag and thought, How many hours do I need to work for this? Instead of just seeing numbers, what if you could instantly see the cost in terms of your time? That’s why I built Time for Price — a simple browser extension that converts prices into work hours based on your income. Whether you're shopping online or budgeting, it helps you make decisions with time in mind, not just money. Just enter your hourly wage, and the extension automatically overlays the converted value on any product page. No more impulse buys—just instant, clear insight into what something really costs you. We’re launching soon! Join the waitlist at https://www.timeforprice.com/ to get early access.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive
61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
37%37% 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 · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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