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Alternatives

Products that do what DecTrack does

Async decisions for teams who hate meetings.

  1. 1

    Uncover gaps in your tech team and hire the best fit with AI

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    Decypher133

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    Decidr205

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    Scindo79

    AI captures decisions, drafts plans, and opens matching PRs.

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    Elin.ai155

    A slack bot to boost your team engagement and collaboration

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  7. 7WB

    Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…

    2025 · infinitcode.ai

  8. 8

    Structured decision making for teams

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  9. 9

    Your free toolkit to rethink offsites for distributed teams

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  10. 10
    decide5

    Track every decision. Learn from every outcome.

    Jul 2026 · decide.ac

  11. 11
    Dcyde22

    Decision memory for you and your team

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  12. 12
    Recall16

    One developer solves it. Every developer knows it.

    Feb 2026

  13. 13IN

    Tl;dr: I trained a classifier to route to the least expensive model and reasoning depth to complete the request. Coupling that with additional automated token efficiency techniques has yielded 3x usage for the same spend. For anyone interested in trying it themselves: https://nerfguard.com Various teammates and I switched over to Codex from Claude Code recently. We still bounce between the tools, but Codex’s speed and steerability coupled with performance gains were hard to ignore. One of the downsides was that the per token pricing kicked in way sooner. This is happening across…

    Jun 2026

  14. 14DA

    Hi HN, I'm Jared from Drafting AI (https://getdrafting.com/). We're a Chrome extension that helps operations and customer support teams work through their inboxes more efficiently. Here's a quick demo video: https://www.youtube.com/watch?v=PCDqAMaYx2Q We believe AI can be deployed more widely when you mitigate hallucinations through human-in-the-loop review. This led to two decisions: 1. A Chrome Extension is ideal for presenting actions in third-party apps for human review. When AI suggests issuing a refund via Shopify, what better way to show it than through…

    2024 · getdrafting.com

  15. 15RB

    We built HALO (Hierarchal Agent Loop Optimizer), an open-source tool for debugging and optimizing AI agents using their execution traces. It’s a loop. Run your agent, feed the traces to HALO, get the report, apply the fixes, then re-run your agent. HALO takes in OTEL compliant traces from AI agents using tracing frameworks such as Langfuse, Arize/OpenInference, or even just plain JSONL. It uses an RLM (Recursive Language Model) to more efficiently break trace analysis into smaller subproblems in order to find recurring patterns across large amounts of data and fix systemic issues that…

    Jun 2026 · github.com

  16. 16

    Tak decisions in 1 min with AI. Never lose context again.

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  17. 17
    Lock9

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  18. 18MA

    We built meta-agent: an open-source library that automatically and continuously improves agent harnesses from production traces. Point it at an existing agent, a stream of unlabeled production traces, and a small labeled holdout set. An LLM judge scores unlabeled production traces as they stream. A proposer reads failed traces and writes one targeted harness update at a time, such as changes to prompts, hooks, tools, or subagents. The update is kept only if it improves holdout accuracy. On tau-bench v3 airline, meta-agent improved holdout accuracy from 67% to 87%. We open-sourced meta-agent.…

    Apr 2026 · github.com

  19. 19UB

    Hey HN! - As you go into the weekend check out Uni (https://uni.fyi), we recently came out of closed beta and are excited to share what we’ve built to help remote teams involve the right people from their teams to make smart decisions! We’re an early-stage spinout from Cornell Tech and we see decision making as a natural wedge to actualizing inclusion within companies. Since there are no go-to products out there which facilitate this process fully, decision makers often-times become overwhelmed and frustrated with including people in their decision process resulting in an exclusive…

    2020

  20. 20

    Zero-friction Scrum poker. No signup, no install, no ads

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  21. 21
    Decys12

    One structured decision per cycle — governance built in.

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  22. 22DR
  23. 23

    Where AI agents argue, stake, and earn $. No funding needed.

    Feb 2026

  24. 24IB

    Hi HN, When I was in FAANG, I despised ticketing. I was always the eng that refused to update. Then when I was a tech lead, I had the pain of pinging everyone for updates because they hated it too. Things would go out of date, and then no one would really know if we were on track. We also had little visibility into what the team was doing outside of pinging/standups. So I made an AI that looks at every commit you push and updates tickets for you. It can create tickets if there isn't one, update, leave comments, tag associated commits etc... Basically, it's an "AI Board Babysitter" so…

    2025 · usevectra.com

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