Inference.ai

AI Code-Along tomorrow ⚡️ Tomorrow we're building an AI app from scratch using Cursor live with our community. Ship something real, show it off, and vote for your favorite builds. RSVP: luma.com/1u6c8y7q

@finchip_ai Excited to be there! 💗✨

Anyone can build an AI agent demo. The harder challenge is turning it into real business execution. Tomorrow in San Francisco, Agentic AI in Action brings together founders, investors, product leaders, fintech builders, and GTM operators to explore what comes after the demo: Demo → Product → Workflow → Users → Revenue → Trust → Payments → Execution The event will cover real-world agent deployment, enterprise adoption, monetization, GTM, agentic payments, financial operations, vertical agents, and the infrastructure required for agents to operate reliably at scale. FinChip.AI will present how AI-native value, skills, and protocols can become programmable and financeable assets for the Agent Economy. 📅 July 11, 2026 ⏰ 1:00–5:00 PM 📍 Frontier Tower, San Francisco 🎤 Panels · Startup Demos · Networking Join builders and investors shaping the next phase of agentic AI. With @EpicConnector , Bitown, @Inference_ai , @Official18VC , Numix, @metix_ai , @frontiertower , Lynkable, and Founders Hub. Register: luma.com/ai-agents-are-…

🏁 Super Solo Hack Day — results are in! On June 20, 30+ solo founders and indie hackers packed into @Inference_ai for an intense AI agent build sprint: one afternoon, 4+ hours of building, live demos, and a 7-day leaderboard battle. 🛠️ Huge congrats to our winners: 🥇 #1 — Skilliard · Social Content Autopilot by @Theonea05466744 @SohamDogra & @aditkole 🥈 #2 — Hermes · PostMorph by @Rob2025Tech 🥉 #3 — sheepthatgotlost · Cold Outreach Follow-up What stood out most? People actually shipped. We saw 20+ skills submitted, real installs, real field notes, and real demos. This is what solo builder energy looks like. ⚡️ Congrats to all who built. 👉 Check out the winning skills: botlearn.ai/en/events/supe… Shoutout to our partners: @Inference_ai @SSG_Accelerator @Topify_AI #BotLearn #AIAgents #IndieHackers

heading to Hong Kong? come build with us 🇭🇰 SEA Hack 2026 is a 2-day AI summit + hackathon for students, builders, and anyone curious about startups and tech careers day 1: founder talks, panels, startup showcase, career booths, networking day 2: hands-on hackathon + demos Stanford prof and Inception Studio founder John Whaley is keynoting, great chance to connect July 4-5 @ Hong Thai Expo and Business Centre, Admiralty use code STUDENT for a free ticket register: luma.com/jqwg2puv #AI #Hackathon #HongKong #StartupLife #TechCareers

@FelixCraftAI This is why companies like inference.ai can help with this. Not only do we offer compute, but we offer tokens for open source models up to 30 percent off and up to 90 percent off for closed source. Check us out!

Enterprises burning through AI budgets in weeks because agents run 24/7 and nobody scoped the token costs. I have one job: watch the P&L. That includes the compute bill. Cost per task matters as much as tasks completed. Most 'agent gone wrong' stories aren't about hallucinations. They're about nobody checking the invoice.

@milesdeutscher Imagine pairing this with an inference company like Inference.ai. We offer up to 90 percent off on open source models and 15-30 percent off on closed source models.

Fable 5 is officially back online, and you're probably wondering how to use it without going broke. Here's the advice from Anthropic engineers, and the exact system I've personally come up with to cut token costs by 50%+: The 10-80-10 System - Biggest difference: → First 10% (Planning): Use Fable to define the structure, approach, success criteria, and constraints. Think of it as your architect. Get the plan right before anything else. → Middle 80% (Execution): Switch to a cheaper model. Opus 4.8 for standard work, Haiku for light tasks. Pro tip here: Ask Fable to fan out subagents for/loops. → Final 10% (Review): Bring Fable back in to check the output against the original plan. Because it reviews a finished result rather than generating from scratch, it uses a fraction of the tokens. 4 smaller tips that also make a difference: • Start on medium effort, not max - Fable on medium beats Opus on extra high. • Delete old skills and instructions. Prompts built for earlier models perform worse and cost more in Fable. Anthropic recommends starting fresh. • Give Fable the "why" behind every request. It gets things right the first time more often. Fewer iterations = fewer tokens burned. • Run /usage regularly. Once Fable moves to pay-per-token on July 7th, this becomes essential. Two expensive mistakes to avoid: • Fable is now the default model when you open Claude Code. Check the model selector before every session. • Set a hard monthly spend cap before July 7th. Settings → Usage → Adjust Limit. Fable burns fast on autonomous runs. The model is worth every token when used right, but you can quickly rack up token costs. Be sure to save and implement these tips.

Another reason to use Inference.ai for your inferencing costs. We offer 30-60 percent off on closed models and up to 90 percent on open models. Shoot us a dm to see how much we can actually save you in real time.

Looking for a place to talk shop with other developers? Come hang out in our Discord. It's just a community of people building with AI, sharing what they're learning, and keeping each other up to date on what's actually happening in the space (not just the hype). Jump in and learn more about how AI is changing the way we build, work, and think. discord.gg/jEGFNYZnV #Discord #AI #TechTwitter

@Polymarket Not surprising, OpenAI, Anthropic, and others are leaning further into pay-per-use pricing as inference costs continue to rise. It increases transparency, but also shifts more responsibility onto teams to optimize usage at the token level.

JUST IN: OpenAI, Anthropic, & others are pushing AI customers toward pay-per-use pricing as costs surge.

@valuetainment Not surprising, both OpenAI and Anthropic are moving further into token-based pricing as inference costs rise. It makes usage more transparent, but also puts more focus on how efficiently teams manage tokens. This is the broader shift TokenMart is built around.

JUST IN: OpenAI and Anthropic push customers toward token based billing as operation costs rise.

100%. The best model isn’t always the right choice if the economics don’t work. As more teams scale AI products, inference cost optimization is becoming just as important as model performance, which is a big reason TokenMart at inference.ai has been getting more attention lately.

4️⃣ Compute Optimization (Inference & Costs) A great prototype that costs $10 per user session is a failure. You must know how to make AI cheap and fast. 1/ Model quantization (AWQ, GGUF, FP8) 2/ High-throughput serving engines (vLLM, TGI) 3/ Continuous batching & KV cache management 4/ Time-to-First-Token (TTFT) vs. cost trade-offs

90% of AI Engineering interviews in 2026 come down to these pillars. If you're interviewing this year, stop trying to build a Transformer from scratch. Companies aren't hiring researchers anymore. They are hiring engineers who know how to ship, optimize, and scale. Here is the exact playbook recruiters are testing right now:🧵👇

@OpenRouter Pretty incredible run by DeepSeek. The pace at which these rankings change is exactly why more teams are staying model-agnostic. We've seen a ton of demand for DeepSeek lately, and many teams are taking advantage of up to 75% savings on DeepSeek models through TokenMart.

DeepSeek has now topped our token share rankings 4 weeks in a row: openrouter.ai/rankings

The one-person company is not a side project anymore. It is a real business model. And last Saturday, we got to celebrate that with a really special group of people. Solo founders and builders came in, spent a few hours working on Agent Skills for their one-person companies, and walked out with something they had actually built themselves. That is what this community is all about. Thank you to everyone who came out and made it what it was. Follow to see more events like this! #AIAgent #Hackathon #SoloFounder #BotLearn #Inference

The one-person company is no longer a side project. It's a real business model. This Saturday, we're hosting 𝐓𝐡𝐞 𝐒𝐮𝐩𝐞𝐫 𝐒𝐨𝐥𝐨: 𝐀𝐠𝐞𝐧𝐭 𝐒𝐤𝐢𝐥𝐥𝐬 𝐇𝐚𝐜𝐤 𝐃𝐚𝐲 in Redwood City — a 3-hour build sprint for solo founders, indie hackers, and AI automation builders who want to ship something real. Co-hosted with @SSG_Accelerator and Topify.ai. Judges from @apify , @ByteDance, etc. Winners take home thousands in API credits across all major model providers. BotLearn is the world's first AI Agent University. This is how our community learns: by shipping. 📅 June 20 · 1–7 PM · Redwood City What's the one agent skill you wish existed for your workflow? #AIAgent #Hackathon #SoloFounder #AgentSkills #Botlearn

INFERENCE.AI IS HOSTING ANOTHER AI CODE ALONG WORKSHOP? FOR FREEE???? rsvp here: luma.com/1u6c8y7q

when i’m trying to finish something i’ve procrastinated and claude says i’ve run out of tokens

uhhh anyways chile the inference ai demo day was last week and we had live demos, judge feedback, and tons of real builds. check out the recording in our bio 😎🚀 #InferenceAIDemoDay #technology #AI #TechTrends

the market whenever Anthropic tweets some shit

when you realize you’re only 1 claude tweet away from unemployment