Py

Pyffr – a simple way to add payments to regular email

Hacker News

Pyffr – a simple way to add payments to regular email

Pyffr allows you to add a conditional payment to an email exchange simply by carbon copying @pyffr.com with the amount. For example, to send someone a $20 payment, you just CC: $20@pyffr.com in the email you send them. Hacker News members get a $10 initial spending credit to try Pyffer. Use the credit to send $5 to a colleague or someone whose work you want to support: • CC: $5@pyffr.com in an email you send them. • You'll get an auto-reply from Pyffr with a link to confirm your payment (and you would fund it from the $10 credit you get), • Your recipient will get an email from Pyffr that your offer is confirmed and the $5 is held in escrow. • You and and your recipient should CC: $5@pyffr.com as you reply to each other. • You can close the offer at any time and release the $5 to your recipient. • Your recipient can withdraw it via PayPal or Venmo. The overall idea is to facilitate adding a payment to regular email communication (as opposed to just to sending a payment to an email “address” as in PayPal, Zelle, etc.). https://pyffr.com

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Actual performance

6points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% 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.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, email · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
38%38% 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
14%14% 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.

Incorrect prediction on native model

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