Developer Tools2 weeks ago
TokenSpend
Track AI coding costs attributed to pull requests, teams, and organizations.
haseebejaz · HN
TokenSpend, the AI ROI Solution
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18 projects
Track AI coding costs attributed to pull requests, teams, and organizations.
haseebejaz · HN
TokenSpend, the AI ROI Solution
Access leading discounted AI models from OpenAI, Anthropic, and DeepSeek through one unified API without changing your request format.
@Orbiqen · X
Access GPT, Claude, DeepSeek, and image models from one API. Up to 90% less than official prices on selected models. OpenAI-compatible. Works with Cursor and Claude Code. Try Orbiqen from $1:
OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X
API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
Simulate SaaS pricing models, token costs, and profit margins across 30+ currencies.
@HelloCalcaas · X
Reduce unnecessary tokens in prompts to lower API costs for Claude, ChatGPT, Gemini, and Grok.
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
Your OpenAI client, a different base URL, a much smaller invoice. Frontier open-source models on a decentralized GPU network.
@runnoclip · X
AI inference service that cuts your token bills by 50-90%
Monitor and compare your spending across AI providers like OpenAI, Claude, and Gemini.
@J0nasDav1d · X
Celebrate burning tokens
Rightsize OpenAI and Anthropic models. See what drives your AI bill, then validate cost-efficient model changes without rewriting your application.
@SpendLensAI · X
Analytics dashboard for LLM API spending by model and environment with optimization suggestions.
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]