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Create a Digital Signature in Seconds with This Free Tool

Hacker News

Create a Digital Signature in Seconds with This Free Tool

I built this simple free signature generator to quickly create a nice-looking digital signature. No design skills or fancy software needed—just hand-draw it or type your name, pick a style, and download it. It’s a super basic tool, but useful if you need a signature for invoices, documents, or anything else where a little extra polish helps. You can download it in PNG format as a transparent file, so it’s easy to drop into any project. If you’re also into templates for things like invoices or letterheads, there are a many other resources on the site that might come in handy. Thanks for checking it out!

Visit product View on Hacker NewsOct 20, 2024

Actual performance

13points

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Launch Intel predictions

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

73%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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

50%50% 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, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

32%32% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

25%25% 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, 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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