⚙︎⎈⏤ Building systems one product at a time ⏤⎈⚙︎

/dev/null
Joined April 2018
Daemon-Core retweeted
Bending Spoons is building an operating system for software companies. They acquire products with existing users, brands and cash flow, then run them through an increasingly powerful machine for building and operating software. The company itself is the product. I’m very interested to see how far this model can go.
“People who compare Bending Spoons to private equity have a simplistic, superficial view of the world.” 3 main differences between Bending Spoons and private equity: 1. They buy to hold: “We have never sold a material business. We buy to hold and operate forever.” 2. They deeply transform the businesses they acquire, “sometimes beyond recognition.” 3. They integrate them under a shared platform and operating system, with a core team of “Spooners” handling R&D, marketing, and operations. “People who compare Bending Spoons to private equity have a simplistic, superficial view of the world.” “None of this bears any resemblance to what private equity does.” “Those are funds that buy to sell after, say, 5 years. They intervene maybe on costs or price, but I've never seen PE reinvent a product or rebuild the org, or rebuild the technological infrastructure. And they generally don't integrate the businesses together under a shared platform because they don't have a platform, and even if they did, they need to sell them piecemeal. So if you integrate them, you can't sell them, or at least it would be much more difficult to sell them.”
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Daemon-Core retweeted
Build your React and Next.js app with Reex API Builder. Reex instantly transforms any API collection into tested REST API code, React Query hooks, and strict TypeScript interfaces. Reex UI: reex-api-builder.toolshq.app… Reex CLI: npmjs.com/package/reex-cli
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Daemon-Core retweeted
schools aren't meant for learning
it’s kinda insane that we know how effective spaced repetition is for learning but ~all schools just choose to do nothing with this information
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Daemon-Core retweeted
I hunted Kalendar by @FoundingDev you can now connect Kalendar to your favorite AI assistant via mcp. producthunt.com/products/kal…
Kalendar V2 is live on Product Hunt today. Here's what's new: MCP connectivity, multiple time slots per day, and one-click copy across your week and more. Would mean a lot if you supported us today on product Hunt. Link: producthunt.com/products/kal… #ProductHunt #BuildInPublic #AIScheduling #SaaS
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Daemon-Core retweeted
#China successfully launched the Long March-10B carrier rocket at the Wenchang Spacecraft Launch Site in South China's Hainan province on Friday, achieving its first controlled recovery of a carrier rocket's first stage. #space bit.ly/4wEr4ru
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Daemon-Core retweeted
强箭王十乙! 图源China航天
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Crazy optimism I guess
Then of course there's the 10A that's supposed to fly "sometime in 2026", don't tell me that thinking it will "absolutely" get a landing this year isn't being super optimistic.
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Daemon-Core retweeted
the day a chinese card gives me 48gb for what 12gb costs today, i'm not asking where it shipped from. cheap compute is the only ideology i have.
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Daemon-Core retweeted
The liquid metal that used to control electricity
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Daemon-Core retweeted
Give mixture of agents a try today!
HERMES AGENT MIXTURE OF AGENTS COMBINES MULTIPLE MODELS INTO ONE ANSWER. 8% HIGHER THAN OPUS 4.8. 11% HIGHER THAN GPT-5.5. NO GATED ACCESS REQUIRED. Mixture of Agents (MoA) runs multiple models on the same query in parallel. an aggregator model synthesizes all responses into one answer that outperforms any single model alone. Nous Research benchmarks: 8% higher than Opus 4.8. 11% higher than GPT-5.5. (upcoming benchmark, numbers from official announcement.) HOW IT WORKS: you select a MoA preset as your model. Hermes fans out your query to 2-3 reference models. each responds independently. the aggregator reads all responses and synthesizes one final answer. you see one response. behind it: multiple perspectives. DEFAULT PRESET: moa: default_preset: default presets: default: reference_models: - provider: openai-codex model: gpt-5.5 - provider: openrouter model: deepseek/deepseek-v4-pro aggregator: provider: openrouter model: anthropic/claude-opus-4.8 reference_temperature: 0.6 aggregator_temperature: 0.4 max_tokens: 4096 enabled: true two reference models generate diverse responses. Opus aggregates them into one answer. the output is better than any of the three alone. SETUP: Desktop app / Dashboard → Models → MoA presets CLI: hermes moa configure create named presets for different tasks: hermes moa configure # default preset hermes moa configure review # create "review" preset hermes moa configure research # create "research" preset hermes moa list # see all presets hermes moa delete review # remove a preset BUILD YOUR OWN PRESETS: CHEAP RESEARCH (2 models, budget): presets: research_lite: reference_models: - provider: openrouter model: deepseek/deepseek-v4 - provider: openrouter model: google/gemini-2.5-flash aggregator: provider: openrouter model: anthropic/claude-sonnet-4.6 diverse perspectives at budget prices. Sonnet aggregates. good enough for daily research. MAXIMUM QUALITY (3 models, premium): presets: full_power: reference_models: - provider: openai-codex model: gpt-5.5 - provider: openrouter model: deepseek/deepseek-v4-pro - provider: openrouter model: google/gemini-2.5-pro aggregator: provider: openrouter model: anthropic/claude-opus-4.8 three frontier models + Opus aggregation. this is the preset that beats benchmarks. MID-SESSION TOGGLE: /moa # toggle MoA on/off /moa research # switch to named preset /moa off # disable, use plain model working on routine code? MoA off. hit a hard architectural problem? /moa on. one command. no config edit. no restart. SAFETY RAILS: → aggregator cannot be another MoA preset (recursive MoA trees blocked) → enabled: false disables fan-out (aggregator acts as a plain model) → each reference model runs in parallel (wall clock ≈ slowest model, not sum) WHERE MoA MAKES SENSE: → complex architecture decisions → research synthesis across diverse sources → code review where one model misses edge cases → critical content that needs multi-perspective verification → any task where "second opinion" matters WHERE MoA IS OVERKILL: → simple file edits → routine web searches → cron jobs and monitoring → tasks where speed matters more than depth MoA multiplies your token cost by the number of reference models. use it for the 10% of tasks where quality matters most. full Hermes architecture deep-dive in the article 👇
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Daemon-Core retweeted
Replying to @PavelSnajdr
deepseek v4 pro in omp beats all of the models in codex but not 5.5 if its also in omp, model is too good
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Daemon-Core retweeted
YESSSS!!! Zhuque-3 Flight 2 is coming very soon hopefully in the middle or end of this month! ZQ-3 has a very good chance at nailing the landing🙏
ZQ-3 Y2 is confirmed arrived at JSLC. Official planned within Q2.
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Daemon-Core retweeted
The amount of cope this website will generate when the Chinese lunar mission lands will power the US grid for a decade
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Daemon-Core retweeted
DeepSeek V4 永久降价后,感觉不用抢 Coding Plan 了,直接买 DS 官方的 API 用就好了。像智谱这样的 Coding Plan,现在价格都是对标国外,基本都要一百多,这个钱充到 DS 里,一个月累死你也用不完(只要不是 7x24 小时用)。还不用受 5h / weekly limit 这种鸟气,想怎么用就怎么用。
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PC builders when they see that China is going to flood the market with cheap, powerful GPUs
🇨🇳 China Unveils Gaming GPU To Challenge NVIDIA.
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Daemon-Core retweeted
/grill-me is my most popular skill ever. I get 5-10 messages a day about how it’s changed people’s workflows for the better But… I’ve stopped using it for code. Here’s the improved version:
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Daemon-Core retweeted
Network events are for losers
networking as activity is mostly cope. e.g. the conference circuit, the warm intros, the moving to sf discussions or whatever, oh & the “grabbing coffee” economy.. all of this is overwhelmingly negative selection esp with vc (lol). the ppl worth knowing are usually too busy doing the thing to be farmable, & the ppl available to be networked w/ are available cuz they have literally nothing better going on. do the work, then publish it loudly enough that the right ppl can find you w/o you having to chase. one way broadcast > two way schmoozing. this is why x matters a ton now more than ever before.
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Someone on this Twitter said it was impossible for data center to rely on solar power. Saw that comment and shook my head.
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