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FormFill – Easily Fill PDF Forms Using Anthropic's Computer Use API

Hacker News

FormFill – Easily Fill PDF Forms Using Anthropic's Computer Use API

Hi HN! I created FormFill, a CLI tool that uses the Claude Computer Use API to automate filling out PDF forms without needing a full virtual machine environment. You can use it like this: formfill path/to/form.pdf -s "Name: John Smith, Age: 30, Occupation: Engineer" The Claude Computer Use API is still very new, and I’m hoping FormFill will inspire creative approaches to using it for UI automation. There’s a lot of potential for tools that don’t need full VM control but can still interact with document and UI elements.

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, claude, computer · Missing: agents, macos, agent
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% 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
37%37% 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
11%11% 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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