nowfound

Dev tools · August 24, 2026

QuarryFi

Organize software R&D evidence for CPA review

What it does

QuarryFi connects GitHub, VS Code, Claude Code, and Codex activity with cost context to help US software businesses organize evidence, estimates, and draft Form 6765 inputs for professional review. It keeps project facts, people, dates, and supporting records together—without claiming eligibility or replacing a CPA.

QuarryFi helps US software businesses organize development metadata and actual R&E cost context into estimates and reviewable R&D support.

QuarryFi turns development activity into R&D credit estimates, R&E support, and Build Rate metrics your CPA can review. Uses a simplified 6% illustration after the entered activity allocation and 65% contractor treatment. Actual qualification, domestic-research treatment, base amounts, elections, and credit limits require professional review. Owner draws and hypothetical salary are excluded. An S-corporation owner-employee can be a fit when the company actually pays supported W-2 wages. Entity labels alone do not establish eligibility. Owner draws, unpaid work, hypothetical salary, and side-project activity do not create a wage basis. Link GitHub and tracking plugins. QuarryFi reads…from quarryfi.com

Does the same job

all alternatives →
  • Evidence Core11d ago · evidence.dev · ▲113

    Build live analytics with coding agents

  • TallyrusSep 2025 · ▲115

    Analyze your documents faster, smarter, and more efficiently

  • Digest Diff2023 · ▲105

    Let your commit history tell its story using the power of AI

  • ExplainGithub2025 · ▲184

    Turn hours of code reading into minutes of understanding

  • DocsAlot CLI28d ago · docs.docsalot.dev · ▲196

    Let Claude or Codex create and maintain good looking docs

  • HaystackMay 2026 · ▲120

    Review the pull requests that actually need human attention

More dev tools this month

the category →
  • Dograh592

    The open source VAPI alternative

    Dev tools · 25d ago · dograh.com

  • Meridian530

    Don't let your work go unnoticed. Get promoted!

    Dev tools · 20d ago · meridiona.com

  • x1516

    Lovable for iPhone apps go from idea to App Store

    Dev tools · 11d ago · x1.new

  • Open-source GTM skills for technical founders

    Dev tools · 29d ago · gtmcofounder.com

  • OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.

    Dev tools · 1d ago · opentrailpaper.com

  • Nuphos380

    The AI-Native DevOps Workspace.

    Dev tools · 24d ago · nuphos.ai

Launched alongside, August 2026

the whole month →
  • TL

    Life & fun · 10d ago · louisabraham.github.io

  • Hey Noah641

    A proactive AI executive assistant for founders

    AI · Aug 2026 · heynoah.io

  • Let agents source clips from terabytes of your local video

    Work · 18d ago · clipto.com

  • SA

    Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…

    Life & fun · Aug 2026 · toneyalexander.github.io

  • AdAnt AI608

    Claude for viral, high-converting social ads

    AI · Aug 2026

  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 16d ago · simedw.com