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17,045 products · 82,562 snapshots
easyspecs.ai

easyspecs.ai

Strong signal

The spec review platform

Launched 2mo ago
Signal
78
Velocity
0

What this means

31%Mid-tier finish likely.
Projecting attention of 144 by end of day-1.
+50%Launching in a 50% WoW growing category.
Development had 12 launches this week vs 8 last.
60%Strong buyer-intent signal in the discussion.
60% of commenters sound like potential buyers — mostly developers.
70%Comment sentiment overwhelmingly positive.
Audience strongly receptive — developers engaged.
Users are asking for codebase integration + legacy system support.
Feature requests surfaced from the comment thread.
Recurring concerns: lack of clarity, specific use cases.
Pain points raised more than once by different people.

Prediction

Top-5 finish probability
31%
today
Projected end-of-day votes
144range 108–194
Trajectory
stable
Vote pace holding steady.

About

The gap between 1.5x and 100x isn't speed, it's trust!! AI agents generate code 100x faster than humans write it. But your team can't review it all. EasySpecs documents undocumented codebases and turns them into trustworthy specifications, so spec review becomes your new merge request review. Ground your agents in reality. Scale agentic development without babysitting. Document the foundation once. Review specs including Oracles and Rubrics and Ship code you actually verified.

AI Summary

EasySpecs.ai is a SaaS platform that documents undocumented codebases and generates trustworthy specifications for code review. It aims to streamline the development process by enhancing the reliability of AI-generated code through thorough specification reviews.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement32
Discussion per unit of attention

Signal sources

4 of 6 active
  • Launch tracking5 readings since we picked it up
  • AI analysisB2B SaaS
  • Comment intelligencethread analysed
  • Outside discussion1 thread found
  • Revenue signalsno match on this domain
  • Editorial scoringbelow the signal threshold for this pass

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Emmanuel Kingsley
Emmanuel Kingsley
@emmanuel_kingsley2
rep 25
Xesca
@xesca_i_am · hunter

Topics

SaaSDeveloper ToolsDevelopment

Comment Intelligence· 12 comments analysed

Sentiment

Positive70%
Neutral20%
Negative10%
Buyer intent
60%
of commenters sound like potential buyers
Audience
developers
Sentiment over 62 days
Positive
Negative
Buyer intent
Overall vibe

Overall, commenters express excitement and curiosity about the product's potential and functionality.

Top themes
  • usefulness
  • integration
  • workflow
  • automation
Feature requests
  • codebase integration
  • legacy system support
  • automatic updates
  • direct coding agent use
Complaints
  • lack of clarity
  • specific use cases
  • integration details

Top comments

[REDACTED]
↑ 10

I'm Xesca, CTO turned founder. Before EasySpecs, I spent 15+ years being the person accountable for code I didn't personally write, across fintech, insurtech, and media. That's the job now for every engineering leader: your agents ship code faster than anyone can read it, and you're still the one who answers for what breaks. The problemI kept hitting the same wall everywhere I looked: Teams adopt AI coding agents, and PRs pile up faster than anyone can review them Specs get written against a mental model of the codebase, not the actual codebase Agents generate code against those specs Things break silently, and nobody can trace why, because nobody documented what was actually there to begin with Code review is dead. Spec review is where quality lives now. But spec review only works if the spec is grounded in reality, not guesswork. What EasySpecs doesTwo things, one workflow: 1. We document your codebase automatically Even the undocumented, nobody-wants-to-touch-it kind. Our first real test was a pharmaceutical company's legacy Delphi system. If it works there, it works on whatever you're building. 2. We turn that understanding into specs your team and your agents can actually trust Every spec comes paired with validators, so you know it matches the app before anyone codes against it. Here's the part I'm most proud of: as you write a spec, the specs crafter suggests oracles and rubrics for it, concrete, checkable ways to verify the change actually did what the spec said. Oracles — the "does this pass or fail" checks a machine can run Rubrics — the judgment calls that need a human or an AI reviewer to score against clear criteria You're not staring at a blank page trying to guess how to verify your own spec. The tool proposes it alongside the spec itself. Built for more than developersYou don't need to be a developer to use it. Right now the only way to sanity-check a spec against reality is to go read the source yourself. We built EasySpecs so product managers and team leads get that confidence without opening a single file. Try itFree to start — connect a repo, bring your own AI key, see what it finds Workbench — €5/repo/month while launch pricing lasts (normally €10) Factory — €150/month if you want us to run the AI side too, with credits to use on any repo I'd genuinely love your feedback, especially if you throw a messy, undocumented codebase at it. That's the case we built for.

[REDACTED]
↑ 3

FINALLY!!!! 🍾🎉🎊

[REDACTED]
↑ 1

Didn't know that these sort of tools existed. Excited to see this in action going forward

[REDACTED]
↑ 0

Congratulations @xesca_i_am @carlos_guirao & team @easyspecs.ai 🚀. Question, Having written the specifications, what would be the way to keep them consistent with the changing source code? Manually running them, or keeping them constantly up-to-date?

Sentiment computed via openrouter

Picked up beyond the launch

1 thread we tracked
Some outside interestSep 11
Mapping a codebase into a knowledge tree of features, services, and data models