Frameboard
Indie HackersAI proposals clients can chat in, sign, and pay on one link
The best salespeople I know cut others in on deals to get a good proposal. Everyone else sent text emails or a PDF made in PowerPoint. Now any salesperson can create designer-quality proposals in minutes.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Strong signals: chat · Missing: web3, crypto, cryptocurrency73%73% predicted probability of success on BetaList, 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, intuitive42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos21%21% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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Turn briefs into live proposals clients can chat in, sign, and pay
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ApeiroCraft – see when clients open your proposals29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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Clientjoy43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Manage your leads, proposals, invoices, clients, and more in one place
AppSumo51I
I released a fuzzer for IRC clients57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I released a fuzzer for IRC clients
Hacker News1Fi
Fingerprinting TLS Clients with JA334%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fingerprinting TLS Clients with JA3
Hacker News1Visuaal60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Minimize back and forth between you and your clients.
Indie Hackerscommitment-side-project
OptiTour36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Planification intelligente de vos tournées clients
Product HuntFacile Contracts21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stop writing proposals. Start closing clients.
Indie Hackerscommitment-full-time