Webacus – The Missing Calculator for Developers

Hacker News

Hey HN, I’m excited to share Webacus, a project I’ve been working on that aims to solve a common frustration for developers: the constant need to switch between tools (e.g. base64 decode, hashing, formatting, etc.) and copy-paste data during our workflow. Webacus is a versatile calculator designed specifically for developers. It combines numerous operations that developers frequently need into a single, consistent interface. Instead of Googling and learning the interface for each operation, you can perform everything you need within Webacus, seamlessly. The idea for Webacus came from my own frustrations as a developer. I often found myself juggling multiple tools, switching between tabs, and spending a lot of time copying and pasting data. This fragmented workflow was not only inefficient but also prone to errors. I wanted a solution that would streamline this process and make it more fluid while ensuring my data remained secure. Unlike other calculators and tools that serve a singular purpose, Webacus focuses on interoperability. You can chain various operations together into a single stream, producing the result without the hassle of manual copy-pasting. Additionally, Webacus is built to be local-first, meaning all computations are done on your machine, ensuring your data stays private and secure. Try it Out: https://webacus.dev I’d love to hear your feedback and thoughts on Webacus. Your insights and suggestions will be invaluable as I continue to develop and improve it. Thank you for checking it out! Best, Valentin

Visit product View on Hacker NewsJun 20, 2024

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Launch Intel predictions

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

88%88% 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: mac, single, code · Missing: agents, macos, agent

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface, efficient · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, ide · Missing: https docs, just released, exist

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% 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.

Correct prediction on native model

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