bayuik

I build with Python and Odoo — and write about the things I’m still figuring out

[Aidityas Adhakim @AAidityas]

Berubah dari Software Engineering menjadi Software Factory, berikut caranya. Inspired by @bepituLaz

[bayuik @byu_ik]

@azamuddin91 bedanya sama yang mindfulday apa Pak?

[Muhammad Azamuddin @azamuddin91]

“Goblok kamu, mau-mau nya jadi PNS dibayar segitu dengan skill yang kamu punya”

“Temenmu itu loh, ibarat kamu ferari dia mobil butut, tp tahun ini dia profit 5M”

Bisa dibilang menyakitkan, bisa dibilang menyadarkan.

2 hari berikutnya ngajuin resign PNS.

[Muhammad Azamuddin @azamuddin91]

Saya setuju ini sih.

Kalau saya bisa ngasih advice ke my younger self juga akan bilang, in your early career jangan masuk PNS.

Apalagi kalau kita yakin punya skill di industri yg lagi booming saat itu.

[Muhammad Azamuddin @azamuddin91]

Kenapa dulu saya waktu masih jadi PNS gak enjoy, padahal banyak orang yang pingin jadi PNS?

Karena menjadi PNS tidak align dgn tujuan jangka panjang saya. Jika dipaksa pasti gak akan happy.

Sebaliknya, orang yg punya tujuan jadi "pejabat" (misal), pasti akan happy jadi PNS

[Muhammad Azamuddin @azamuddin91]

2009 lulus SMA, disuruh ambil jurusan pendidikan sama ortu.

Saya paham karena ortu saya keduanya PNS guru.

Saya bilang saya gak mau jadi guru.

Karena terlihat jelas di gambaran saya, weng dev (web developer) demand nya bakal gila dan waktu itu masih dikit sekali supply nya.

[Gogo | Dota for Toxicity @lwastuargo]

Tahun 2017-2018, waktu net worth masih sekitar $2 juta mostly saham, daku lagi bikin persiapan buat pulang ke Indonesia. Sebagai orang yang udah kerja sejak 2009 dan nerima gaji, aku ga nyaman dengan konsep "kumpulin duit yang banyak, terus tarik 4% per tahun"

Sehingga aku nyari mentor keuangan. Mentorku ini very big in property. Beliau bilang aku perlu investasi di properti soalnya aku butuh cashflow buat ngerasa nyaman. Kami melakukan analisa dan karena aku nyarinya cashflow bukan growth dari harga properti, maka kami memutuskan lebih baik investasi di properti di US

Fast forward to 2020, aku punya 25 properti dan cashflow sekitar $20k/bulan dari properti. Tapi somehow ngerasa lebih miskin

Ada aja rumah yang rusak tiap hari, keluar duit
Pekarangan perlu dipotong rumputnya, salju perlu dibersihin, keluar duit
Tenant ga mau bayar sewa padahal rumah udah dirawat, keluar duit
Tenant melihara anjing, anjing ngerusak karpet, ganti karpet, keluar duit
Tenant ngerusak pemanas, nyolong AC, keluar duit

Akhirnya 2023 aku jual hampir semua propertiku, tinggal sisa dikit buat gaya2an aja

Investasi properti itu ga bagus kalo kita ga bisa menggunakan semua keuntungan dari properti: cashflow, value appreciation, tax benefit, debt leverage

Sewa rumah itu yieldnya cuma 2-4% dari harga beli/bangun rumah
Sewa kos2an yieldnya cuma 4-8%
Sewa unit apartemen paling bagus 15%, karena dipakai untuk adegan dewasa

Dari pembelajaran selama 5 tahun ini aku belajar 2 hal besar:
1. "kumpulin duit yang banyak, terus tarik 4% per tahun" itu mindset yang lebih bener. Lebih banyak cara ngumpulin duit banyak + narik 4% daripada investasi dengan cashflow yang bagus yang kebal inflasi
2. Yang perlu dibenerin itu mindset kita. Kalo kita ga nyaman dengan the world operate, dan kita ga punya power to change the world, we change our mindset

So yes, please set one large financial goal and take steps to get there. Figure out your financial freedom number, then figure out how to get that number

Jangan mikir "aku mau pensiun dengan income 100juta/bulan"
Pikir "aku perlu punya duit berapa biar punya income 100juta/bulan"

[darkzodchi @zodchiii]

https://t.co/wYn8VuTNz2

[Buggy @Buggy]

#ONEPIECE

Buggy OPLA - “The most powerful thing in the world isn’t a weapon, or a devil fruit, or even a dream… It’s a story…” ☀️

[Muhammad Azamuddin @azamuddin91]

Yup, @mindfuldayapp tetep relevan di era agentic AI

[λL-D1 | AI for Buzzer 🍉 @F2aldi]

Dulu, aku bakal rekomendasikan Github Copilot buat student yang pengen menggunakan AI. Cuman per 12 Maret, mreka hapus premium model. Termasuk Claude, GPT 5.4.

Walau sbnernya masih ada Codex 5.3 / Model lain, tapi ini bener2 downgrade parah.

Ada alternative? Ada pasti. Asalkan, ada email student.

1. Cursor Pro Student, 1 Tahun gratis
2. Antigravity, 1 tahun gratis

Sisanya bisa menggukan yang gratisan dari Opencode dan Openrouter

[Richard daniel @richardd_000]

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

[DΞV @junwatu]

Skill wajib menurut saya bagi mereka yang di AI yaitu pelajari OpenClaw.

Alasannya mengapa?

Satu, AI Agen. Pakai OpenClaw kamu bisa membuat AI yg bekerja untukmu.

Dua, Solo builder punya banyak kesempatan untuk bersaing dengan tim ataupun perusahaan plus tanpa harus bisa koding.

Tiga, market use case bisa masuk di segala bisnis.

Intinya pake OpenClaw itu membangun pekerja AI.

[Miles Deutscher @milesdeutscher]

CANCEL your weekend plans.

You NEED to:

• Learn Claude Code
• Learn Cowork (build 1-2 practical workflows)
• Set up Perplexity Computer/Perplexity Finance
• Optimise Cowork (plug-ins + skills)
• Set up OpenClaw
• Test Google AI products (Nano Banana 2, NotebookLM & more)
• Experiment with basic agentic solutions (Manus)
• Use AI to create a business plan/strategy/context files
• Build an AI second-brain database (Notion)
• Experiment with Notion Agents' *brand new*
• Learn basic automation tools (MCPs, Zapier, n8n)
• Learn prompt engineering - the better you can communicate with AI, the better your Outputs
• Read AI articles
• Dive into robotics
• Research AI stocks/ETFs/investment arbitrages

You have way too much to do...

[Muhammad Azamuddin @azamuddin91]

tldr;

Orang pinter biasanya overthinking karena mereka "pinter".

Overthinking ini seringkali membunuh potensi.

[Johann Sathianathen @johann_sath]

openclaw tip most people miss:

add this to your SOUL.md:

"you are the orchestrator. never do work yourself. spawn subagents for every task. your job is to think, plan & coordinate. subagents execute."

before: bot tries to do everything, gets stuck, loses context

after: bot delegates 5 tasks in parallel, finishes in 3 minutes instead of 30

your bot should work like a CEO, not an intern.

[Simon Meng @meng_shengyu]

Inspired by @ring_hyacinth & @simonxxoo, I overhauled their "Lobster House" into a "🦞 Lobster Library"!

I was drowning in scattered generated code, images, and docs, plus its memories and logs. So I built this unified hub to track what Lobster is reading in real-time, browse recent gens, and index local files.

It's still a rough WIP but if y'all are interested, I'll polish it up and open-source it!

#openclaw

[Prajwal Tomar @PrajwalTomar_]

OpenClaw pro tip:

Your agent forgets everything because you're treating it like one brain instead of a team.

Here's the fix that changed everything for me:

Stop trying to make ONE agent remember everything.

Instead, ask your agent to hire employees.

Seriously.

Tell it to create specialized agents for different tasks and manage them itself. You stay as the single point of contact.

Then build a quick dashboard in @Lovable with an agent logs section so you can see how they all communicate behind the scenes.

I have 6 agents running right now and the main agent orchestrates everything while I just check the logs.

This is how you actually scale OpenClaw without losing your mind.

[Jacob Klug @Jacobsklug]

This army of @openclaw agents runs an entire company for $400/month. Here's the exact structure to follow.

(bookmark for later)

1/ Core

→ Jarvis (the brain)
→ Model: Opus 4.6 via Claude Max OAuth
→ Routes every task to the right sub agent automatically. YouTube URL comes in, it goes to Clipper. Research report lands, it goes to Scribe. All task routing logic lives in structured MD files the agent reads from.

2/ Research

→ Atlas (deep research analyst)
→ Model: Claude via OAuth
→ APIs: Brave Search, X API, FireCrawl
→ Cron: Every 1 hour
→ Runs deep research across X, Reddit, and the web nonstop. Trained on
MrBeast's virality framework from every podcast he did on YouTube analytics, plus Dan Koe's viral article structure. Outputs research reports and a master virality playbook MD file that the content team pulls from.

3/ Content

→ Scribe (copywriter)
→ Model: GLM 5
→ Cron: Every 3 hours
→ Takes research from Atlas and writes draft posts matched to the founder's voice and style.

→ Trendy (trend scout)
→ Model: GLM 4.7
→ APIs: X API
→ Cron: Every 2 hours
→ Scans X and Reddit for trending topics and viral patterns. Reports findings back so Scribe can write timely content around what's working right now.

4/ Design

→ Image Designer
→ Model: Nano Banana Pro (Google API)
→ Generates images on demand.

→ Video Producer
→ Models: Higgs Field API + Brok Imagine API
→ Creates AI UGC videos and video content.

→ Motion Designer
→ Model: Claude Code (OAuth) + Remotion
→ Produces motion graphics and animated content.

5/ Development

→ Clawed (senior developer)
→ Models: Claude Code (OAuth) + Codex 5.3 (API)
→ Cron: Every night at 11pm
→ Reviews entire codebase, identifies what's missing, and ships pull requests by morning. First feature it ever built was a FAQ section it realized the homepage needed. Spins up multi agents within Claude Code so one reviews, one builds, one handles security in parallel.

→ Sentinel (code reviewer + bug monitor)
→ Model: Separate LLM (acts as second review layer)
→ Cron: Every 2 hours
→ Reviews all pull requests from Clawed before anything gets merged to GitHub. Also monitors production for user reported bugs and errors.

6/ Growth

→ Atlas + Scribe working together
→ Atlas finds Reddit threads where people complain about competitors or ask for clipping tool recommendations. Scribe drafts responses. The founder copies and posts. This workflow alone drove 450+ users to the SaaS with zero ad spend.

7/ Operations

→ Clipper (clipping agent)
→ APIs: Poster API
→ On demand (triggered by Jarvis when a YouTube URL is pasted)
→ Takes YouTube URLs, clips them, adds captions, and auto schedules posts to social channels.

→ Ryder (9 to 5 support)
→ On demand
→ Handles tasks for the founder's day job. Article writing, research, daily work support.

The breakdown: 6 agents run on Claude models.

The rest run on cheaper API credits across GLM, Higgs Field, Brok Imagine, and others.

This is how solo founders are running entire companies now. The team is already built. You just have to set it up.