nowfound

Work · May 8, 2026

trace

Stop sending surveys. Start extracting product decisions.

What it does

Most product research dies in unread transcripts. Trace is an intelligence layer that converts user conversations into actionable roadmap evidence. Instead of static forms, Trace runs adaptive interviews to uncover the actual friction in your product. It then extracts the core reasoning from those chats and maps it directly to your roadmap (Linear/Jira).

Does the same job

all alternatives →
  • Trace2025 · trace.so · ▲1,556

    Workflow Automations for the Human 👾 AI Workforce

  • Trace 3DSep 2025 · ▲230

    Manage your 3D content production workflow in one place

  • TraceJan 2026 · ▲156

    F**k The Algorithm. Make Your Own

  • Trace AI2023 · ▲266

    Fastest way to build iOS apps with AI

  • TraceRoot.AI2025 · ▲344

    Fix bugs faster with open source, AI native observability

  • Trace-AIOct 2025 · ▲146

    Know What You Ship. Secure What You Depend On.

More work this month

the category →
  • Let agents source clips from terabytes of your local video

    Work · 18d ago · clipto.com

  • Free local transcription that is 100% Private

    Work · 17d ago · hynote.ai

  • The app store for voice native apps that lives in your notch

    Work · 28d ago · voiceos.com

  • Ask any question, get a video back instantly

    Work · 24d ago · scrimba.com

  • Mac-native app for screenshots, recordings and collaboration

    Work · 5d ago · cleanshot.com

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

    Life & fun · May 2026 · github.com

  • FM

    Dev tools · May 2026 · github.com