🚀 Just Launched: https://t.co/YoqYKWhdx6
What you’ll find:
✅ Framer-related websites & tools
✅ Free & premium components
✅ Plugins, templates, and more
Ini aplikasi bagus banget sih -_-
https://t.co/ilTONGDye1
Mana murah banget lagi subs monthly nya. Kalo aku pengusaha di marketplace, pasti mau juga pek dia.
No endorse.
UI/UX Designers, this might be the new favourite icon library.
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Buset ini bukan folder lagi, ini gudang ilmu wkwk.
Ada Excel, SQL, data analytics, Business Analyst, project management, sampai materi interview.
Belum gw cek semuanya, tapi buat yang lagi belajar atau mau pindah karier lumayan banget buat dieksplor.
Gue pernah diketawain temen gara2 pake Claude Fable 5 buat bikin konten Threads. Katanya boros, overkill, kayak motong sosis pake gergaji mesin wkwk. Mending model yang lebih murah.
Tapi system yang gue build pake model "boros" ini baru aja dapetin 1 juta views dalam sehari di Threads. Di akun faceless yang baru gue bikin kemarin, padahal followersnya masih 5.
Lo salah kalo pake Fable kayak chatbot versi mahal. Kalo dipake cuma buat nanya2, ya emang rugi. Fable baru kepake bener pas lo kasih dia kerjaan utuh. Dia bisa baca file, ngikutin SOP yang lo tulis sekali, manggil tools, ngecek kerjaannya sendiri, terus jalanin proses berlapis tanpa lo suapin prompt satu2.
Bedanya gini.
- Chatbot: lo nanya, dia jawab, selesai.
- Agent: lo kasih objective, boundaries, sama definisi "kapan dianggap beres", terus dia kerja sendiri sampe standarnya kena.
Ini konsep yang gue ambil dari Andrej Karpathy: manusia pegang spec dan oversight, AI yang ngerjain.
Bentuk system gue buat akun faceless Threads:
1. Objective. Gue ga nyuruh dia "bikinin konten". Gue kumpulin 20 post yang kebukti meledak di niche gue lengkap sama view count-nya, suruh dia bedah polanya (kenapa hook ini jalan, struktur body-nya gimana), terus hasil bedahannya disimpen jadi SOP permanen. Targetnya niru pola yang kebukti menang, dengan bukti angka.
2. Boundaries. Aturan main ditulis sekali di depan: kasih halaman Wikipedia yang bahas Signs of AI Writing, suruh reverse engineer buat hindarin semua tulisan AI (walaupun mungkin ga bisa perfect 100%), ga boleh halu/ngarang data, dan gaya nulis harus ngikutin sampel tulisan asli gue 100%. Sekali set, semua output ngikut. Ga perlu lagi ngedit2 draft kayak pas gue pake model sebelumnya (Opus 4.8)
3. Definition of done. Draft pertama ga pernah langsung dipost. Tiap draft lewat 2 gerbang: humanizer buat nyari pola2 khas AI terus nulis ulang, dan scorecard 10 poin dari pola viral tadi. Skor di bawah 8, buang. Yang nentuin "udah jadi" itu standar gue, bukan dari AI-nya. Ini fungsi human-in-loop.
4. Feedback loop. Tiap minggu performa post balik ke system: pola yang meledak masuk SOP, yang flop dicatet biar ga keulang. Post winner gue repost setelah sebulan lebih dan viewsnya masih nyangkut 35-91% dari original.
Soal boros, ya emang beneran, per token emang mahal. Tapi kalo emang works bisa balik modal cepet kok hehe
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20+ years as a product designer = a lot of bookmarks. Sharing the best of them.
→ https://t.co/mn8sFr2atB
What am I missing? Drop your favorites below 👇
THIS IS WILD!! @animosapp is finally live! 🙌
20+ ready made motion templates, drop in your images or video, export up to 4K, all running in your browser
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Save this if you sell Framer or Webflow templates.
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