Pr

Prism.Tools – Now 100% Offline capable

Hacker News

Prism.Tools – Now 100% Offline capable

I've completely overhauled Prism.Tools to be 100% offline-capable and privacy-focused, with significant tool improvements. WHAT CHANGED? - Dependencies: Moved from external CDN libraries to LOCAL libraries only (/lib folder) - Privacy: Zero external requests now (no potential CDN tracking) - Offline Use: Works completely offline after download (no internet required) - Licenses: All licenses included (/lib/license/) - Assets: Local Web Safe fonts (/tools/fonts/) TOOL UPDATES: 1. ASCII Art Generator: - Improved performance using FIGlet.js Credit: Created by Glenn Chappell and other FIGlet contributors - Animate button cycles through all fonts for quick review 2. SVG Editor: - Completely reworked with expanded capabilities - Educational design with help tooltips - Professional features (transform engine, gradients, grouping) - Beginner-friendly with default example to explore features 3. Other Updated Tools: - Code Formatter, Diff Checker, Hash Generator, SQL Formatter, YAML/JSON Converter, QR Code Generator - All libraries for these tools are now local 4. Two new tools, now 48 tools total: - HTML Viewer, Image Metadata Viewer FOR GITHUB PAGES VISITORS: You're already using latest version but be sure to Refresh the pages! >> https://blgardner.github.io/prism.tools TESTING OFFLINE FUNCTIONALITY: 1. Download complete repository 2. Disconnect from internet 3. Open index.html in browser 4. Test all tools - should work normally TIP: Use Chrome's "Application" tab in Developer Tools to verify no network requests are made. Q: Why these changes? A: To ensure privacy and provide reliable, always-available tools regardless of internet connectivity. Q: What if I don't update? A: Old versions will eventually break when CDNs change or shut down. They also send data to third parties. Download Latest Version: https://github.com/blgardner/prism.tools/archive/main.zip Live Version: https://blgardner.github.io/prism.tools/

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
82%82% 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: new, using, code · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive
57%57% predicted probability of success on AppSumo, 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
52%52% 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 · Strong signals: way, education · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, 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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