
TokenRouter — Control your AI spend
One OpenAI-compatible gateway in front of 13 providers. Budgets with hard caps, rate limits, and analytics. Flat subscription, zero token markup.
@tokenrouter · X
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One OpenAI-compatible gateway in front of 13 providers. Budgets with hard caps, rate limits, and analytics. Flat subscription, zero token markup.
@tokenrouter · X

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]

Breaks startup plans into testable hypotheses and coaches customer validation interviews.
@SebBuildsLex · X
I Vibe Coded Lex. Lex breaks down your plan into testable hypotheses, ranks them by risk, and coaches your customer interviews/experiments, so you learn the truth. Use it free at:

Compress LLM prompts and documents to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

Track your vibe-coding subscriptions and token usage costs.
u/RickkyRoss · Reddit
Nerdwallet for vibecoders When I started vibecoding, my subscriptions started to add up, and I wasn't sure how much i was spending, so I built vibecosts.app It helps me keep track of my spending and token usage so I can make the most of each subscription. submitted by /u/RickkyRoss to r/SideProject [link] [comments]

Compare AI coding subscriptions in a sortable table showing prices, flagship models, and usage limits.
@krzysu · X
I saw people on Reddit constantly asking "what's the best AI coding subscription?" so I built -> a sortable overview of fixed-price plans. Most of you are probably on Claude Code, but there are solid alternatives out there worth a look.

Community-run crypto token leaderboard. Swap, boost, and bid to push your token up the live ranking — even a $1 bid moves the rank.
@Degens_now · X

Launch tokens across multiple blockchains using automated bonding-curve pricing.
@da99fun · 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

Investigate wallets, tokens, transactions, approvals, and smart contracts with evidence-led Web3 security tools, blockchain research, and connected intelligence.
@ceotokentoolhub · X
Scaling @TokenToolHub

AI tool to scan crypto tokens for risk analysis using screenshot detection.
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]

Monitor AI and LLM applications with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications