La
LaunchChecklist.pro – Customisable launch checklists with PDF export
Hacker NewsLaunchChecklist.pro – Customisable launch checklists with PDF export
I built this to simplify launch day for solo founders and small teams or anyone who just wants to make a checklist for any occasion. LaunchChecklist.pro lets you build and track your own launch checklists with themed templates and one-click PDF export (useful for teams, clients, or any occasion). Built with Next.js, Supabase, Stripe, and Vercel. Would love feedback. Demo: https://www.tella.tv/video/launch-1-3mop Thanks!
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting73%73% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: stripe · Missing: mac, agents, macos52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue24%24% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
ShipGlobal.in28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ab Export Hua Aasaan!!
Product Hunt+2
DeepSeek PDF Exporter14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Export deepseek to pdf
Product Hunt+6A
A Semiring of Functions [pdf]51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Semiring of Functions [pdf]
Hacker News9An
An introduction to 'Conscious Turing Machines' with fizz [pdf]62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An introduction to 'Conscious Turing Machines' with fizz [pdf]
Hacker News2Pd
Pdf.to50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pdf.to
Hacker News42PD
PDF Annotator of Nightmares50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PDF Annotator of Nightmares
Hacker News25PD
PDF Differ50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PDF Differ
Hacker News62Ma
Masker – PDF Redaction48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Masker – PDF Redaction
Hacker News2PD
PDF Crawler63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PDF Crawler
Hacker News3
SafeConverter7%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PDF sem limites, sem cadastro e sem dor de cabeça
Product Hunt