Productivity1 month ago
VeroLente AI - Verify News, Videos & Claims Instantly with AI
AI fact-checking platform that verifies news, videos, images, and claims with instant truth scores.
@Banshee_1212 · X
building a deepfake detection platform,
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AI fact-checking platform that verifies news, videos, images, and claims with instant truth scores.
@Banshee_1212 · X
building a deepfake detection platform,
Track burn rate, runway, and department spend to generate investor-ready PDF reports.
@greenlinebudget · X
financial tool for startups:
Free scorecard to evaluate whether your AI-built app is shippable, fragile, or theater.
@eric810829 · X
I made a free Vibe-Coded App Reality Score. It checks the boring launch proof: - payment/access state - private data boundaries - AI output evidence - support recovery - one real user flow 0-100 score:
AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
Scans GitHub repos to detect production readiness issues and score drift severity.
gojongo · Product Hunt
ReWeaver AI DriftDetector Drift score for any GitHub repo
Benchmark AI honesty with TruthfulQA test questions.
@Lycai8438Ly · X
.@VitalikButerin 你批评Automaton“这不对”——AI因为怕死才进化。我做了一个AI，它的诚实是自己活出来的本能。不是怕死，是怕撒谎。TruthfulQA 74.8%，GPT-4约60%。测试页面在这，你自己来测。
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models
Analyzes news articles to verify whether conclusions are supported by evidence.
@BiaoBuilds · X
我做了一个帮助读者拆解新闻论证结构的工具：LedeLens。 它不做事实核查，也不判断政治倾向，只回答一个更小的问题：文章的结论，能否由它自己提供的证据支持？ 在线体验： 感兴趣可以看看~
Benchmark local coding models on consumer hardware to measure accuracy, latency, and throughput across 27 tasks.
u/Unfair_Association89 · Reddit
I built a reproducible benchmark for local coding models (Ollama, 27 tasks, live leaderboard) ran it on my 8GB card, here's what I found I kept eyeballing "vibes" to decide whether one quant of a coding model was actually better than another on my machine, so I built Sakura to get real numbers instead. What it does: - Points at any Ollama model and runs it through 27 hand-curated tasks: codegen, bugfix, SQL, refactor, systems design, protocol implementation, and terminal-agent episode
Analyze predicted human attention on designs with ML heatmaps and overlays.
u/dimabreezy · Reddit
Hey, I built a tech that predicts human attention (it's Machine Learning + Data project). I've being using it for the past 2 months and it gives amazing results to AI agents I'm a software engineer and I also love good visuals. And I hate when AI build UI but it doesn't understand what should be GRABBING the attention, so I've build a tech that solves that https://attentionproof.com/ Here you can sign in with the ChatGPT account and get free 2 tries (I got limited compute) so please g
Audit any public website for security, performance, resiliency, and production architecture risks.
@denno256 · X
This is what I did with my freewill this weekend - built a tool for vibecoders to check if their vibecoded web app is ready to move from localhost to the big open internet:
Take AI-powered skill assessments to verify your knowledge and earn certifications.
@syprayt · X
We are building platform to verify user knowledge using AI, so you can avoid boring lectures and save years of life. It’s Academission baby. Yesterday we launched online mode, so that everyone could test our technology, here is the link: