Lead Frontend Engineer | Building Supernala https://xitter.cf/t.co/Gs9gguxEfz Opinions are my own

Indonesia
Joined June 2023
hanip retweeted
Unpopular opinion: you won't find your customers on X
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Bikin carousel buat campaign sosmed jadi gampang banget, tinggal suruh anak intern di @supernalacom
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Replying to @notch
Hiring talented people 101: * pay well * interesting problem * be a good boss * freedom and responsibility
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Pas mau renov garasi ini, sempet mau pake jasa kontraktor, udah disurvei, lalu udah dihitung RAB nya estimasi butuh 120jtan sampai selesai. Jujur aja, saya gak punya pengalaman bikin bangunan sendiri, tapi keknya over budget harga segitu, apalagi menurut saya luasnya gak gede-gede amat. Akhirnya coba otodidak, beli bahan sendiri, hire tukang langsung. Untung dibantu AI Supernala.com supaya tercatat dan rapi catatan keuangannya. Mari kita lihat apakah endingnya habis 120jt an atau way way lebih hemat. Enak juga ternyata dibikinin tracker keuangan ini, ini bisa buat lesson learnt, bahkan jadi lebih tau harga-harga material dan apa aja yang dibutuhkan Mungkin jasa konstruksi bukan ide buruk untuk pensiun dari Programmer, soalnya saya geli sama Lele.
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Siapa nih yang mau nikah dan mau dibantu biar otaknya jadi lebih ringan. Gas dong pake supernala.com buat manage budgetnya
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Gw termasuk yg males nyatet keuangan. Udah segala cara dicoba, dari yg tradisional di buku, coba pake excel, sampai pake aplikasi khusus pencatat keuangan, pasti gak bisa konsisten. Tapi dengan adanya AI ini emang ngebantu banget sih, karena untuk recordnya tinggal chat aja, AI Botnya yang rekapin otomatis. Ini salah satu contoh use case di supernala.com yang menurutku okee banget!
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seems obvious to everyone around me that sandboxes are on their way out. we hear too many stories about reliability, capacity, broken sandboxes that need manual intervention -- plus they are way too expensive for what they provide. the future for agents? workspaces. your agent doesn't need a computer. it needs a place to store it's context, and the *tools* to manipulate that context each turn. we're in the very early stages of the AI era. the simplest version of this pattern is just handing each agent a time-multiplexed VM, since that's the only thing that we have at hand right now. over the next 12 months, you're going to see a rapid shift away from this model and towards what i call the "magic compute box". rather than giving an agent a VM, you give it a set of tools (could be "bash", "python", "js", "read_file", "write_file") -- and you send those commands to a magic service in the cloud that manages to run them for you -- using the cheapest technology available (just-bash, wasm, or even Linux if really required) for each command invcation. your agent doesn't want a computer that it can set a desktop background for, it wants a place where it can fire off an unlimited number of tool calls and have it update the context correctly.
is this a hot take? if you're using persistent VMs with agents you're doing it wrong ephemeral sandboxes are not only the future, but they are already the present, and they provide numerous and superior capabilities to single or small quantity persistent VMs
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hanip retweeted
and all this with only 30K feels nice..
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hanip retweeted
sadly no, they are not cut it yet until October 30 so our experience now is GPT 6.1 Sol but still using the old limit. after it cut in half then we should expect it emptied faster. but I think even so, it will still same more or less with Opus 5.5 usage on Claude @grok confirm?
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hanip retweeted
Replying to @perogeremmer
pi is the new "I use neovim, btw" 😁 tapi anehnya dulu saya suka pake neovim, tapi kurang suka pake pi. mungkin lebih karena belum ada waktu buat ngulik. herdr + opencode udah cukup buat sekarang
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Lagi bahas fitur bot Supernala, trus mikir, kayaknya enak kalau ada group chat. Misal untuk tim kecil, atau komunitas kecil, atau bahkan untuk family. Ngobrol di situ, trus ada satu ai bot yg join di situ juga, dia bisa ditanyain, punya memory, bisa jadi notulen, auto bikin task, dll. Ah tapi saya gak mau unecessary complexity sih Kalau emang gak ada yg butuh case di atas, ya ngapain dibuat kan? Just because you can build (with AI), doesn't mean you should, right?
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Gak perlu 350k, 150k aja bisa kalau disuruh apply job otomatis, mau coba? 30rb bisa jadi personal assistant, 150rb bisa surfing internet dan apply job gak perlu manual Silahkan join di sini tally.so/r/yPBBKp
W masih ga habis ga ngerti sama orang orang yg lebih rela ngeluarin uang buat makanan overprice yg rasany ga enak daripada keluarin uang untuk subscribe AI 350k perbulan yg bikin kerjaan lu jadi lebih mudah dan u can make money juga.
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Jari udah makin males gerakin mouse, mending pake keyboard buat nyuruh bot 🥲
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hanip retweeted
Adding support for @typesafeai's Jev in distilled - use Effect schema to define the questions and just call `ask` to get back structured data. Badass.
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Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
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hanip retweeted
The long term goal of Sapa is not payment as I believe we have so many great PG in Indonesia already. The long term goal is the ease to compose the building block of monetization like subscription, license, entitlements, etc. so that when we building app, we don't need to vibe code monetization anymore
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hanip retweeted
Other than Subscription, Sapa also cover more use case like licensing, one time payment + download, etc docs.usesapa.app/recipes/ you can check the recipes here
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The "whiteboard defense:" I should be able to pull you aside at any moment and ask you to explain any customer-facing system you've shipped. You should be able to clearly explain how it works and defend the decisions you made. This is my benchmark for responsible AI usage. I don't expect line-level familiarity with the code. I don't care if you remember the exact function name or implementation detail. You may not even know it. I don't care. But if I ask "why did you do X instead of Y?", "what happens if this actor behaves maliciously?", "what data structure did you use here and why?", or "where does this fail?" you should be able to answer confidently. For PoCs, demos, experiments, whatever: I don't care. Generate 100% of it and understand none of it. Speed over quality every time in those specific scenarios. But if you're shipping customer-facing work, you can't be shipping things you don't understand at a high level.
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Kalau kalian punya sekelompok bot yg bisa bantuin kerjaan kalian, kira-kira kalian mau bikin bot untuk tugas ngapain aja? Code review? Kelola landing page? Ngurus iklan? Ngurus dokumentasi? Enak bener semua dikerjain bot, kita tinggal bilang "Oke setuju" 😂
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