
SlopSift — An NLP linter for AI writing tells
Detects AI-generated writing patterns using NLP analysis.
NikhilVerma · HN
Slopsift – a local, graph-backed linter for AI writing
The full gallery
Tech stack
38 projects

Detects AI-generated writing patterns using NLP analysis.
NikhilVerma · HN
Slopsift – a local, graph-backed linter for AI writing

Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests

Buy and test specialized AI agents that automate tedious business and life tasks.
@coastallife831 · X
Everyone sells one AI chatbot. We sell 80 specialists you can test-drive instantly.

Describe your business and AI automatically configures sales, HR, payroll, and communication tools.
@Talytaha · X
ERPnBOX is the all-in-one platform that sets itself up — describe your business and AI builds it in minutes. Sales, HR & payroll, attendance, and your WhatsApp and email conversations, all in one place. On web and mobile, in your language.

Write objectives and let AI agents (Claude, Cursor, Codex) decompose and execute coding tasks.
dudemanAtl · HN
PlanWright – A control plane for AI coding agents

Propose actions and watch an AI control plane evaluate policies, handle approvals, execute, and verify results in real-time.
eli-labz · GitHub
Agent-Execution-Partnership Agent Execution Partnership AEE is an open-source control plane that ensures every AI agent action is authorized before it runs, observable while it runs, and verifiable after it completes.

An AI agent that analyzes code repositories and writes code autonomously in your browser.
@vlipadev · X

Review production agent traces to identify and fix recurring failures.
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at

Analyze CVs and screen job candidates with AI scoring, skill gaps, and interview questions.
@HireXhub · X

Monitor AI model calls, agent steps, and retrieval with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications

Query spreadsheets and datasets with plain-English questions to generate instant answers and reports.
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

Check academic papers for AI usage and originality by analyzing patterns and sources.
@stejas809 · X