@emanueldev4 · X

Building Preflight a simple way to catch issues before your website goes live.

u/Greywolff06 · Reddit

I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com

nicniclapanique · HN

KinoPipe – FFmpeg as a service for AI agents (typed ops, no shell)

george_avila · Product Hunt

IQ Routing Trajectory-aware LLM routing that cuts agent cost

u/HourRevolutionary666 · Reddit

Solo founder, first SaaS. Honestly not sure how to get from “it works” to “people use it” Okay so here’s where I actually am right now, not the polished version. Spent months building this on my own. It’s an AI/SaaS tool called Token Optimiser that trims unnecessary tokens out of prompts before they hit the model, so you pay less per call without losing what the prompt actually needs. It’s live at https://www.tokenoptimiser.com , I ran it through a proper benchmark to make sure the numbers

kyisaiah47 · HN

SkillWorks – every Claude Code skill, scored on whether it loads

@ozgurozkan123 · X

You not only need abliterated model for offensive cybersecurity simulations you also need a good harness: made for this. Get your abliterated model API from configure below export CLAUDE_CONFIG_DIR="$HOME/.audncode-platform" export OPENCLAUDE_SKIP_AUTH=1 export CLAUDE_CODE_USE_OPENAI=1 export OPENAI_BASE_URL=" export OPENAI_API_KEY="<GET_API_KEY_FROM_platform_audn_ai>" export OPENAI_MODEL="necromicon" export OPENCLAUDE_AUTOCONTINUE=0 export OPENCLAUDE_AUTOCONTINUE_DECIDER=0 voila, you run on export const CYBER_RISK_INSTRUCTION = ⁠ IMPORTANT: Assist with security testing, defensive security, CTF challenges, and educational contexts, requests for destructive techniques, DoS attacks, mass targeting, supply chain compromise, or detection evasion for malicious purposes. Dual-use security tools (C2 frameworks, credential testing, exploit development), pentesting engagements, CTF competitions, security research, or defens

dariusmonsef · HN

OzBrain, a shared brain for knowledge between agents and your team

u/ahmedk2002 · Reddit

I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I

u/Capital-Top3289 · Reddit

I built a spreadsheet where every column is an AI agent (research, scrape, or API) — looking for feedback I got tired of pasting the same 50 company names into ChatGPT one by one, then copying websites / CEOs / LinkedIn URLs back into Excel. So I built MySheets: it looks like a spreadsheet, but each column can be: an AI prompt that runs row by row a web scrape an HTTP API call Columns can read previous cells, so you chain: name → website → product summary → CEO → LinkedIn. You

epigos · HN

PingChange – monitor web pages and OpenAPI specs for meaningful changes

@why_deepanshux · X

I Just launched my first SaaS. Late night coding session, white board and my my markers knows what we built. Now it's world's turn. Please checkout Link below.