Launch Intel
CloseDraft

CloseDraft

TrustMRR

CloseDraft is a client memory tool for freelancers. It tracks your clients, projects, and last contact dates, then proactively shows you who needs a follow‑up. With one click, it generates a personali

CloseDraft is a client memory tool for freelancers. It tracks your clients, projects, and last contact dates, then proactively shows you who needs a follow‑up. With one click, it generates a personalized email (follow‑up, payment reminder, or cold outreach) using AI. You can send it directly via Gmail, copy it, or schedule automated sequences. No more lost deals from forgotten inboxes.

Visit productView on TrustMRRApr 16, 2026SaaSOtherB2C
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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating2
MRR growth 30d-100.0%

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% 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: inbox, email, using · Missing: mac, agents, macos
54%54% 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
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
36%36% predicted probability of success on TrustMRR, 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 released
16%16% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
15%15% 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
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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