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Sign YC Safe, NDA, or Freelance Contract Faster Ever

Hacker News

Sign YC Safe, NDA, or Freelance Contract Faster Ever

Hey HN We've decided to disrupt LegalTech and make the process of signing simple contracts incredibly easy, affordable, and straightforward. You don't even need to sign up to create a YC SAFE, NDA, Employment Agreement, or Freelance Contract and send it for signing. If any of this is relevant to you right now, give it a try and share your feedback. I'll jump ahead a bit and mention that this is our first step toward our main product — an easy-to-use API for contract integration with other systems. However, it's currently in waitlist mode, and you can also sign up for it here: https://sendforsign.com/dev

Visit product View on Hacker NewsSep 26, 2023

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · 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

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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