The full gallery
Tech stack
63 projects
Scan websites for performance issues and get optimization recommendations.
arminnx · Product Hunt
OptiQra AI-powered website optimization that actually fixes issues
Monitor how your ChatGPT and Gemini content ranks and get optimization recommendations.
@deduction_find · X
Scan your website to see if AI agents can find, read and cite it, with optimization recommendations.
draxork · HN
SeekinWeb – Check if AI agents can read your website
Analyze stocks with AI and get portfolio optimization recommendations plus alerts.
@AMaxim62228 · X
Check out what I just built with Lovable!
Analyze customer friction points and get optimization recommendations to improve e-commerce conversion rates.
@EnricoBoeker · X
Input a domain to get AI-powered brand analysis, competitor reports, and SEO optimization recommendations.
Albert-Weasker · GitHub
niubigeo Open-source AI brand visibility and competitor reports. Official website: https://niubigeo.ai/ | Paid services: AI testing by real people and GEO optimization. Pricing: https://niubigeo.ai/pricing
AI tool that recommends optimal tech stacks for SaaS projects based on budget and team size.
@appstackbuilder · X
Less time searching. More time building. That's the goal behind App Stack Builder. 🌐 #Startup #BuildInPublic #SaaS
Find AI models optimized for your hardware with performance and pricing estimates.
cdnsteve · HN
Tokenstead, find AI models for your hardware
Get personalized AI software stack recommendations based on your business bottlenecks, stage, and budget.
@SublimeDr85198 · X
Upload your resume to optimize it for any job posting and get an ATS score.
@bull_developer · X
Built Krafiter to make AI resume optimization more honest — no fake skills, numbers, or experience. Just launched Would love your honest feedback. #buildinpublic #SaaS
Submit kernel patches and engine optimizations for LLM inference speed, benchmarked on dedicated hardware.
carsenk · HN
Frontier.fast – Help push the frontier of LLM speed forward
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
