Indra Gunawan

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Indra Gunawan

Indra Gunawan

@bos5ig

Founder Qumatic Inc. | Sr. Software Engineer

Indonesia Katılım Haziran 2009
90 Takip Edilen45 Takipçiler
Bun
Bun@bunjavascript·
In the next version of Bun node:sqlite is fully implemented and passes 100% of Node.js’ test suite
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Nahid
Nahid@nahid_pro09·
you can run over 100 high-performance ai models for "FREE" using nvidia's nim infrastructure without paying for hourly gpu rentals or expensive cloud credits😲 most developers are still burning through their runway on massive cloud bills, but nvidia has opened up their production-grade stack to members of their developer program for zero cost takes 5 minutes to set up what you get inside the nim catalog: -100+ curated, frontier-grade models including llama, mistral, gemma, whisper, and deepseek -the exact same enterprise inference stack used for nvidia's internal production -lightning-fast, low-latency, high-throughput endpoints -full openai-compatible api format for drop-in migration what you are replacing: >colab pro and hourly gpu rental fees >per-request charges from premium api providers >the headache of maintaining self-hosted gpu clusters >expensive cloud inference endpoints full setup guide (nvidia nim implementation): step 1: join the developer program ->sign up for free at: build.nvidia.com/explore/discov… ->no credit card or identity verification is required step 2: generate your key ->navigate to your account settings and generate your personal nvapi-key step 3: plug into your client ->set your base url to :[integrate.api.nvidia.com/v1] ->drop your new api key into cursor, zed, or any openai-compatible framework step 4: scale your agents -leverage the generous free-tier rate limits to run your agent swarms, tool-calling loops, and multi-model pipelines -monitor your usage via the dashboard to keep your prototyping within free limits important notes: ->this is a developer-tier access designed for prototyping and research, not massive commercial scale ->you get an initial pool of inference credits on signup, which can be extended via request ->it is the cleanest way to run production-grade inference without the overhead of enterprise billing already spending a fortune on gpu hours? skip straight to step 1 and move your prototyping to nvidia nim to bring your marginal costs to zero this is the single best way to build agentic swarms on professional-grade hardware for free right now bookmark this and claim your access before the terms shift or capacity limits tighten
Nahid tweet media
Nahid@nahid_pro09

Everyone is wasting time managing multiple API keys and hitting paywalls meanwhile OpenRouter is giving you 22+ "FREE" models for $0 with a single key😳 let me break this down for you! OpenRouter just turned into the ultimate developer cheat code No more provider hopping, no more dashboard fatigue, and definitely no more juggling keys. They’ve unified the ecosystem into one single endpoint. heres what makes this a game changer: ->22+ free models all in one place ->20 requests per minute (RPM) ->one API key for your entire stack ->works instantly with Claude Code, Cursor, Aider, and LangChain and the best part? this isn't a restricted trial. it’s a permanent gateway to the best open models without the headache of managing separate accounts for Anthropic, OpenAI, or Mistral. heres how to set it up in 60 seconds: step 1: go to openrouter.ai/keys sign up generate your master key step 2: plug it in use it in your favorite IDE or agent framework it works with everything step 3: start building stop worrying about billing focus on your agents and loops you can use this for heavy agent swarms, complex tool-calling, or just daily coding tasks. 2026 is all about multi-model routing, and this is the free layer you’ve been looking for. thats the cleanest way to access frontier-level performance for free. you dont need to pay for individual provider access anymore. bookmark this, it's a total productivity hack

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Ryan Dahl
Ryan Dahl@rough__sea·
i expect almost all software is about to be rewritten from scratch
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Matteo Collina
Matteo Collina@matteocollina·
Bun is fast, until latency matters for Next.js. We benchmarked the same Next.js app across Node.js, Deno, Bun, and Watt (our multi-threaded Node-based runtime) under identical load on AWS EKS. Throughput looked fine across the board. Latency told a very different story. 🧵
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MF JOOM
MF JOOM@Dr_Huey·
I’d sell my kidney for this walahi
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Indra Gunawan
Indra Gunawan@bos5ig·
@bravobeacukai saya beli iPhone dari marketplace, mau mendaftarkan IMEI apakah bisa dibantu? Dokumen lengkap bisa saya siapkan: * invoice * bukti pembayaran * link pembelian * npwp
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Bravo Bea Cukai
Bravo Bea Cukai@bravobeacukai·
@bos5ig Halo kak, untuk HP pembelian dalam negeri, tidak perlu lagi didaftarkan IMEI nya ya, karena setiap HP yang masuk secara legal pasti sudah terdaftar IMEInya
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Indra Gunawan
Indra Gunawan@bos5ig·
@bravobeacukai @bravobeacukai Halo, masalahnya tiap 3 bulan signal mati, complain ke seller baru aktif lagi, sepertinya mereka pakai via turis, saya mau aktifkan permanen, bagaimana caranya?
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Indra Gunawan
Indra Gunawan@bos5ig·
@bravobeacukai saya beli iPhone dari marketplace, mau mendaftarkan IMEl apakah bisa dibantu? Dokumen lengkap bisa saya siapkan: - invoice - bukti pembayaran - link pembelian - npwp
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Indra Gunawan retweetledi
Deno
Deno@deno_land·
`deno compile` your program with web workers into a single binary
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Jarred Sumner
Jarred Sumner@jarredsumner·
This is hot reloading on the server
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Ainun Najib
Ainun Najib@ainunnajib·
OTP: Oalah Takkiro Password
West Region, Singapore 🇸🇬 Indonesia
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Deno
Deno@deno_land·
v1.25.1 has been released with many bug fixes related to the experimental npm support & new http server github.com/denoland/deno/…
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Jarred Sumner
Jarred Sumner@jarredsumner·
One of my favorite criticisms of Bun “Bun doesn’t add anything new to the JavaScript ecosystem” Very excited to prove those people wrong
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Jarred Sumner
Jarred Sumner@jarredsumner·
I think Bun needs to start prioritizing some new & missing features
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Indra Gunawan retweetledi
Tech Burrito
Tech Burrito@TechBurritoUno·
The future of farming. Source @gigadgets_
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