the average ai startup burns $8,000-50,000/year on tool subscriptions
i went through 400+ github repos and pulled the 80 open-source ones that do the same work for $0
8 categories:
→ agentic coding
→ vibe coding
→ memory
→ multi-agent
→ image/video
→ voice
→ local inference
→ self-hosted UIs
every entry has a breakdown + a direct link
one of them - DESIGN.md (by google)
18.4k★ · #1 trending on github today
CLAUDE.md for your app's design - one file of design tokens your coding agent reads, so it stops shipping generic UIs lint, diff, export straight to tailwind
my last list of 69 repos did 691k views. this one's bigger
full list, links, breakdowns 👇
bookmark it. subscriptions are a habit, open source is a skill
THE LAST ONE IDEA WHEN RUSSIAN DEVS BUY CLAUDE DIRTY CHEAP
→ API for openclaw or VS Code
→ Opus 4.8 and Fable 5
→ $0.001-0.01
It still cheaper that buy Claude for $20
share to people to see another one idea
like + bookmark if you interested
half this app pays $200/mo for ai
here's my actual monthly bill for the same work → almost $0
the stack, itemized:
→ frontier code: glm 5.2 coding plan ~$18/mo. for ~80% of tasks i don't even touch it - 4.7 + the free flash models cover it
→ fast inference: groq + cerebras free tiers. ~1M tokens/day. no card
→ model variety: openrouter :free - 20+ models behind one key, $0
→ ide: cursor pro, free for a full year if you're a student
→ research + audio summaries: notebooklm. free, no api key
→ when i genuinely need raw frontier: pay-per-call api. $5 here, $10 there. never a $200 subscription i use 20% of
total: roughly the price of one coding plan - doing the work people pay $200+/mo for
the trick isn't one magic tool. it's refusing to pay subscription price for anything that has a free tier
i've been building agents on this exact stack in the open for weeks. it holds
save this it's the legit version of every "cheap claude" post in your feed
everyone's bookmarking this. here's the 30-second version
the whole thread is one idea: on the coding plan you don't pay for tokens. you pay for prompts
the 4 moves that actually move the needle:
→ batch your asks. 10 one-line prompts = 10 prompts. the same work in one structured message = 1 prompt. that's 5-10x more runway on the same plan
→ cache the stable stuff. keep system prompt + tool defs + the big file you keep referencing at the FRONT
→ ~81% off the repeated part of every call
→ stop running everything on 5.2 max. the flash models are free, and 4.7 still hits 73.8% on swe-bench. save the flagship for hard bugs and 1M-context tasks
→ the weights are MIT. high volume + your own hardware = zero per-token cost, forever
the honest part he's right about:
→ glm 5.2 isn't "free." the only genuinely free paths are the flash models and self-hosting the open weights.
→ the gap between "hit my limit in an hour" and "coded all day" isn't the plan it's the habits
cheapest frontier coding model on the planet → made even cheaper
save this next to the original
ANOTHER ONE MARKETPLACE WHEN RUSSIAN DEVS BUY CLAUDE CHEAP AS CHIPS
→ Pro accounts
→ Opus 4.8
→ $3-5 each
And you just keep paying $20.
share to people to see how it works
like + bookmark if you interested
I FOUND THE MARKETPLACE WHERE RUSSIAN DEVS BUY CLAUDE ACCOUNTS
→ Pro accounts
→ Opus 4.8
→ 50M tokens
→ $4-6 each
it's all there. SMS-verified. instant delivery. dozens of vendors with ratings going back years.
while everyone here pays $20/mo, half the developer
We've been quiet for 8 months.
Because we've been busy building the infrastructure for a 100% agent-led companies.
Still in the beta phase, but I can't hold back this preview.
Introducing Matrix, where anyone can launch a 0-Person Company that actually earns.
And yes, Matrix
everyone's posting "the age of agents is here"
nobody mentions the embarrassing part: agents don't learn. same mistake every session. they forget what worked, repeat what failed
found the ~2.5k-star repo quietly fixing it →
ACE - agentic context engine:
→ adds a persistent "skillbook" - strategies that survive across sessions
→ agent fails
→ a reflector reads the trace
→ extracts what worked
→ next run it's better
→ no fine-tuning, no training data, no vector db
the numbers:
→ 2x consistency on the tau2 agent benchmark
→ 49% fewer tokens on browser automation after 10 runs
→ $1.50 to let claude code translate 14k lines py
→ts. zero build errors, all tests passing
based on a stanford x sambanova paper. not a weekend hack
while everyone argues which model is smartest, this fixes the real bottleneck → agents that get smarter the more you use them
save this. here context engineering isn't a buzzword, it's the whole repo
half this app is still trading "perfect chatgpt prompts."
nvidia's ceo just stood on stage and declared the age of agents →
what jensen actually said at gtc taipei:
→ "agentic ai has arrived. useful ai has arrived."
→ the job flips: agents do the doing, you just do the asking
→ he called time of death on 40 years of keyboard + mouse + prompt
anthropic's own engineers are saying the same thing:
→ "you're not supposed to prompt claude. you're supposed to build a system that prompts itself."
→ the skill isn't the prompt anymore. it's the loop around it.
what this means for you:
→ stop collecting prompt templates
→ start building context — memory, tools, a loop that runs without you
→ one good agent loop beats 100 saved prompts
in 12 months the winners won't be "prompt engineers."
they'll be the ones who built systems while everyone else perfected their wording.
prompting got you in the door. context engineering is the game now.
save this before the templates you're hoarding go stale.
ANOTHER ONE MARKETPLACE WHEN RUSSIAN DEVS BUY CLAUDE CHEAP AS CHIPS
→ Pro accounts
→ Opus 4.8
→ $3-5 each
And you just keep paying $20.
share to people to see how it works
like + bookmark if you interested
405 Followers 1K FollowingImproving humanity one smile at a time 😊 | https://t.co/9w0h7fulWD 🔴 | The AI Guyz | The Boomer Guide | Caregiving Guides | https://t.co/vbSiF7aa2F.
18 Followers 116 FollowingAI automation for insurance agencies. I build systems for renewals, follow-ups & data entry — so agents focus on clients. Building in public 🧵
22K Followers 21K Following战斗频道| 蓝v互关Blue V Follow Back 💯| 互动群 https://t.co/lzCH3ZLOum|爱好寻找Alpha|超级个体 Ai X Crypto X 美股 X Vibe Coding|$STONKS 已质押|既懂投资,又懂投机|看得远,出手准。|一年出手两三次足矣
295 Followers 1K FollowingAuthor, Conscious Systems (94% download rate) · ConsciOS paper (95%) · CMU → World Bank → 9 ventures · Free book + Free live lesson ↓
245 Followers 140 FollowingI have seen many fail with crude prompts
Come. Let me teach you the hidden ways of Claude
Skills, agents, and lectures - offered freely… for now | @zscdao
54K Followers 8K Following📕 Get the edge on the competition with SF6 Crash Course ⬇
Co-Founder of @crosscountertv. FGC/Esports Crystal Ball. Freedom & crypto maxi $XRP | $HBAR | $XMR
72K Followers 9 FollowingColab is the tool Google uses to build Gemini, the easiest way to access TPUs and NVIDIA GPUs, and the best way to learn how to program in Python.
499K Followers 87 FollowingTensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation
3K Followers 3K FollowingOver 20 years in Tech building software & leading teams | AI, Software Development, Security, Blockchain, Project Mgmt. | Building B2C Software | Prov 4:5 | ✝️