Developer Tools1 month ago · 5 tries
LandingBoost – AI Landing Page Audit Tool with Revenue-Backed Benchmarks
AI tool that audits SaaS landing pages and suggests improvements for clarity, trust, and conversion rates.
@yusukelp · X
Here’s mine!
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AI tool that audits SaaS landing pages and suggests improvements for clarity, trust, and conversion rates.
@yusukelp · X
Here’s mine!
Monitor app store performance, SaaS revenue, and server uptime in one dashboard.
@xLegitstudio · X
Track real-time profit and business performance metrics.
@uchechukwuevan · X
Run real models against benchmarks in your browser to detect performance regressions before production.
pepperpoppins · HN
Trunchbull, run real models against any benchmark in your browser
Compare AI coding models on real tasks with live previews, cost tracking, and ELO rankings.
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.
Accurate MRR, churn and LTV for SaaS, built from your Stripe, Paddle, Creem or Asaas billing data. Then ask Kometrics AI anything about your revenue and get an answer with the repo
@camposped · X
Subscription metrics for the AI era:
Cashflow dashboard for solopreneurs to track burn rate, taxes, and runway.
@kaki_llc · X
Check out what I just built with Lovable!
Speech to text dictation and multi-engine speed benchmarking. Compare OpenAI GPT-Transcribe, Deepgram Nova-3, NVIDIA Parakeet, and Fish Audio with local IndexedDB privacy.
@alvaisy · X
finished voice to text small web app for my own itch. it's opensource. use openrotuer key. and use it with 4 models.
Compare how different AI models generate frontend code and view accessibility scores.
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
Compare AI language models by performance across official benchmarks.
fcten · V2EX
做了一个大模型 leaderboard 网站 最近一个月 CodeX 疯狂送重置，token 根本用不完，顺手做点东西。 地址：[知行录]( https://leaderboard.cn/) 排行依据主要为模型官方基准测试成绩。非主观排名。 数据会持续更新。如果有点用，欢迎各位 v 友收藏～
Measure code review performance across GitHub teams with leaderboards and reviewer analytics.
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back
Detects churn risk by analyzing customer health across product, billing, and CRM data.
@NicolaTowse_ · X
Hey there, just dropped a follow! I'm building a SaaS product which helps fintech SaaS to protect their revenue and reduce churn: