Yoze Hariando

Programmer gadungan!

[DAN KOE @thedankoe]

https://t.co/gN9cBK7feV

[Rudiyanto @Rudiyanto_zh]

Data klasifikasi investor dari IDX per Juni 2026 sudah terbit

Data akhir Juni sudah mencerminkan kepemilikan saham setelah rebalancing MSCI pada akhir Mei dan FTSE pada 22 Juni

Saham apa saja yang di Buy, Sell, dan Hold oleh Mutual Fund (MF) dan Exchange Traded Fund (ETF)?

[ØTöNGKØiL @0tk0il]

kobisaaa
gimana ini penjelasannya

[Avid @Av1dlive]

You can build an AI second brain in 15 minutes.

No coding experience needed. no $1000 course

[Here is how you can do it in 5 mins:]

Step 1: Download Claude Desktop.

Step 2: Download Obsidian Desktop.

Step 3: Create a new vault and start dropping .MD files into it.

Step 4: Tell Claude Code to connect directly to your vault using Andrej Karpathy's prompt: https://t.co/2SJBZyjXDl

That is it.

Your entire knowledge base becomes searchable, connectable, and queryable by the most powerful AI model on earth.

Every note you have ever written.

Every idea you have ever captured.

Every resource you have ever saved.

Claude can now read all of it, find connections you missed, and surface insights from your own thinking that you forgot you had.

Most people are using Claude as a search engine.

The people building second brains with it are using it as an intelligence layer on top of everything they know.

The gap between those two use cases is the gap between asking Google a question and having a research partner who has read everything you have ever written.

Bookmark this.

Build it tonight.

[sapte @saptaipb]

plan saya buat avg down $BBCA yaitu

mulai entry hanya jika IHSG ke 5320 dan harga $BBCA nya ke 4.830

DYOR

[Papan (Necromancer Bare Metal) Berjalan @papanberjalan]

If you have MacOS, you should:

Uninstall Docker
Uninstall Colima
Uninstall Orbstack

Just use Native Apple Container

[Livsun @L1vsun]

a trader in Shanghai has been running 71% annual returns since 2019 without ever touching a Western exchange

nobody outside Weibo knows his name

he doesn't manage outside capital, never went on a podcast, never posted a P&L screenshot

pause at 0:34

- look at the monitor behind him on the right

that's not a price chart. that's a 6x6 state transition matrix built from 11 years of Chinese A-share data

he found something in 2018 that every quant textbook describes but almost nobody applies

CSI 300 price-state transitions are predictable at a level that makes S&P pattern noise look clean by comparison

he mapped 6 market states:

trending-up, trending-down, range-tight, range-wide, vol-compression, spike-decay

then calculated every historical transition probability across 11 years of 30-minute bars:

trending-up -> stays trending: 63%
vol-compression -> spike-decay: 78%
range-tight -> breaks directional: 71%

now he's not predicting direction. he's entering when math says 71% historical completion, sizing with Kelly, closing in under 30 minutes

28 min avg hold, worst month -3.1%, best year +94%

framework is markov's from 1906. A-share data is free on WIND Terminal

implementation: roughly 180 lines of python

insight was never about math - it was about where to aim it

Chinese A-shares have thinner institutional algo penetration than US equities. patterns don't get arbed out as fast

statistical edges persist for months longer than they would on SPY

retail in Shanghai trades on gut. US quants are chasing S&P microstructure

nobody was running transition matrices on Chinese state sequences at any real scale

he aimed a 119-year-old framework at a market nobody was watching and held the edge for 6 years

bookmark this before it becomes obvious

math is free, data costs nothing

what took time was realizing the most exploitable market wasn't the most-watched one

they kept you watching SPY candles while the cleanest probability table on earth sat untouched in Shanghai

[Roan @RohOnChain]

this is literally the "GOLDMINE"

How to build a self improving quant trading loop (Full guide)

if I had this a year ago, I would've easily made my first million by now instead of running the same strategy manually for 14 months

in the right hands, this changes everything:

[Charly Wargnier @DataChaz]

🚨 Yarchi just published an awesome guide on building an AI "second brain" using Claude and Obsidian

Based on @karpathy's LLM Wiki concept, the idea is to stop starting from a blank chat window and start building a compounding knowledge graph.

Obsidian handles the local storage.

Claude acts as the brain.

I wrote down the condensed notes on how to wire them together:

The Stack:
→ Install Obsidian (your free, local text storage) and Claude Desktop Pro (the engine that reads and writes files).

The Bridge:
→ Install the "Local REST API" plugin in Obsidian, copy the key, and use Claude’s MCP framework to connect them (claude mcp add-json obsidian-vault...).

The Context:
→ Ask Claude to interview you. Have it ask about your goals, projects, and working style, then save it all to a CLAUDE.md file so it never forgets who you are.

The Structure:
→ Create specific project folders (Inputs, Process, Outputs, Feedback) and open them as isolated vaults so Claude stays focused on one job at a time.

The Automation:
→ Save repeated workflows as markdown "skills" and use Claude's schedule tab to trigger daily vault maintenance.

Voilà!

You end up with an AI that organizes your files, summarizes your notes, and remembers your entire context.

Full guide from Yarchi here ↓

[CyrilXBT @cyrilXBT]

A LONDON-BASED AI ENGINEER WITH A KNOWLEDGE GRAPH THESIS FROM BIRMINGHAM JUST SHIPPED GRAPHIFY: ONE COMMAND TURNS ANY FOLDER INTO A CLAUDE CODE SECOND BRAIN.

Safi Shamsi built it 48 hours after Karpathy posted his LLM wiki idea.

It turns any folder, codebase, docs, PDFs, into a knowledge graph Claude reads instead of grepping. Up to 71.5x fewer tokens per query on the right corpus.

The trick almost nobody is using yet: one flag exports the entire graph as a fully-linked Obsidian vault.

Repo: safishamsi/graphify
Setup, end to end:

Install: uv tool install graphifyy (or pipx install graphifyy). Verify with graphify --version.

Install the skill in Claude Code: graphify claude install. Wires Graphify in as a callable skill.

Open the folder you want mapped. In the terminal: graphify . It extracts every concept and builds the graph in graphify-out/.

Export to Obsidian: graphify . --obsidian. Writes one note per concept, every relationship as a wikilink, every node linked back to its source.

Open the new vault in Obsidian, or drag it as a subfolder into your existing one.

Your Claude Code instance now has a navigable map of the codebase that loads instantly instead of re-reading files every session.

Full step-by-step build of the Claude + Obsidian second brain in the article below.

Bookmark this.

[CyrilXBT @cyrilXBT]

A CHINESE TRADER BUILT A SECOND BRAIN IN OBSIDIAN THAT GENERATES 3 TRADING IDEAS EVERY MORNING AT 6AM AND MADE $180,000 IN 6 MONTHS.

No Bloomberg terminal.
No analytics desk.
No team of analysts.

A Mac Mini by the wall.
An iPhone in his pocket.
One local Obsidian vault.

Six N8N pipelines running 24/7, pulling every article he reads, every podcast he listens to, and every voice note he drops into a Telegram bot—directly into the vault.

Every night, a neural network reads across 4,000 connected notes and finds the strongest connections between fresh information and old theses.

Every morning at 6AM, a brief lands in his inbox:

- 3 trading ideas with confidence scores
- The emerging thesis of the week
- Any note that contradicts an active position

The system only wakes him up when a fresh note contradicts his thesis, or when an idea breaks 90% confidence.

Everything else runs without him.

The monthly bill: $120 in API costs.
The monthly return: approximately $30,000 into the account.

Traditional quant funds pay teams of 8 people to produce the same flow of insights.

He pays $120 and a Mac Mini.

The full system breakdown is in the article below.

Bookmark this before you pay for a Bloomberg subscription.

Follow @cyrilXBT for every solo operator setup that changes what one person can build.

[Tech with Mak @techNmak]

Someone finally documented how to actually use Claude Code.

58K+ stars. claude-code-best-practice.

Direct from Boris Cherny and team:
➡️ Always use plan mode, give Claude a way to verify
➡️ Ask Claude to interview you using AskUserQuestion tool
➡️ Use Git Worktrees for parallel development
➡️ /loop - schedule recurring tasks for up to 7 days
➡️ Code Review - fresh context windows catch bugs the original agent missed
➡️ Make phase-wise gated plans with tests for each phase
→ Use cross-model (Claude Code + Codex) to review your plan
➡️ CLAUDE[.]md should target under 200 lines per file
➡️ Use commands for workflows instead of sub-agents
➡️ Have feature-specific sub-agents with skills instead of general QA or backend engineer
➡️ Vanilla Claude Code is better than complex workflows for smaller tasks
→ Take screenshots and share with Claude when stuck
➡️ Use MCP to let Claude see Chrome console logs
➡️ Ask Claude to run terminal as background task for better debugging
➡️ Use cross-model for QA - e.g. Codex for plan and implementation review
➡️ Context rot kicks in around 300-400k tokens, don't let sessions drift past that
➡️ Rewind > correct, /rewind back to before the failed attempt instead of polluting context
➡️ /schedule - cloud-based recurring tasks that run even when your machine is off
➡️ Auto mode instead of dangerously-skip-permissions, a model-based classifier decides if each command is safe
➡️ Build a Gotchas section in every skill, add Claude's failure points over time

The community workflows included:
➡️ Superpowers (234K stars), brainstorming → git worktrees → subagent-driven development → TDD
➡️ Everything Claude Code (219K stars), /ecc:plan → /tdd → /code-review → /security-scan → merge
➡️ Matt Pocock Skills (138K stars), /grill-with-docs → /to-prd → /triage → /tdd → /handoff
➡️ Spec Kit (114K stars), specify → clarify → plan → tasks → implement → analyze
➡️ gstack (112K stars), office-hours → CEO/eng/design reviews → spec → qa → ship → canary
➡️ Cross-Model (Claude Code + Codex) Workflow
➡️ RPI (Research Plan Implement)
➡️ Ralph Wiggum Loop for autonomous tasks

The billion-dollar questions it addresses:
➡️ What exactly should you put inside CLAUDE[.]md, and what should you leave out?
➡️ When should you use command vs agent vs skill?
➡️ Why does Claude still ignore CLAUDE[.]md instructions, even when they say MUST in all caps?
➡️ Can we convert a codebase into specs and have AI regenerate the exact same code from those specs alone?
➡️ Should you rely on Claude Code's built-in plan mode, or build your own planning command?

The daily habits:
➡️ Update Claude Code daily
➡️ Start your day by reading the changelog
➡️ Follow r/ClaudeAI, r/ClaudeCode on Reddit

Repost it. Bookmark it. 👇

Here's the GitHub Repo: https://t.co/3yAfJnFchp

[Meliasih @meliasiih]

GLM-5.2 kelihatannya bakal jadi salah satu model coding paling menarik tahun ini.

Kalau mau coba langsung, bisa lewat ZCode. Mereka lagi kasih 5M credit gratis.

=> https://t.co/3JhDUHEbHQ

• Daftar pakai email
• Verifikasi email
• Download ZCode installers
• Install ZCode dan jalankan
• Login dengan akun yang terdaftar
• Selesai. 5M credit langsung masuk

Lumayan buat ngetes performa GLM-5.2 di task coding panjang tanpa harus keluar biaya dulu.

Note:
-This post is not an endorsement or sponsorship.
-Iam Just sharing in case it's useful to someone else.

[Meliasih @meliasiih]

Baru nemu AI tools yang lumayan menarik buat dicoba.

Atomesus lagi ada program 1 tahun Premium gratis + API Key dengan credit $300.

=> https://t.co/pMWaVIH17o

• Daftar pakai Google
• Klik ikon profil di kiri bawah
• Pilih "Apply Referral Code"
• Masukkan kode: ATOMESUS

Fiturnya juga cukup lengkap. Seperti,

▸Image Generation
▸Coding Assistant
▸File Analysis
▸Research & Study Tools

Untuk akses API key, Gunakan endpoint

- Base URL: https://t.co/FJ9RDLIUZC
- API key: ATOMESUS_API_KEY

Belum tahu program ini bakal berakhir kapan, jadi mending klaim dulu selagi masih ada.

Note:
-This post is not an endorsement or sponsorship.
-Iam Just sharing in case it's useful to someone else.

[Twips | AI & Crypto @TwipsX]

Guys, buat kalian yang nggak punya banyak duit buat beli domain, server, atau credit AI tapi pengen tetep ngoding/bikin project.

Gua ketemu website kumpulan promo gratisan, diskon, sama credit API AI gratis khusus buat developer. Sekarang udah ada 39 bansos, 36 masih aktif.

Mulai dari:

- domain gratis ✅
- kredit cloud sampe $200.000 dari AWS/Google/Microsoft ✅
- credit AI ratusan dolar dari provider kayak AgentRouter ✅

Websitenya open source dan dikelola langsung oleh komunitas dev Indonesia. Datanya juga transparan langsung dari sumber resmi.

Gua taro linknya dibawah 👇

[Meliasih @meliasiih]

Baru sadar ada produk lokal yang ngasih API key gratis buat testing AI.

Namanya NaraRouter. Kamu mendapatkan 5M token dan di reset setiap hari jam 7 pagi.

=> https://t.co/D1HM7sk98q

• Klik "Start Free"
• Daftar pakai google
• Credit 5M token langsung masuk

Gunakan endpoint

- Base URL: https://t.co/DJQDBj0nE3
- API key: NARAYA_API_KEY

NaraRouter juga sudah support model yang lagi ramai belakangan ini. Seperti,
▸ MiniMax M3
▸ GLM 5.2

Jadi kalau sering utak-atik AI API atau bikin prototype, ini lumayan worth dicoba sekarang.

[sapte @saptaipb]

Saya bantu rekapin saham saham yang cocok untuk dividen play strategy

Tujuannya sederhana:
Membeli perusahaan yang mampu membayar dividen secara konsisten dan mengumpulkan "gaji" dari kepemilikan sahamnya.

Cocok untuk investor dengan Karakter berikut:
✅️Suka pendapatan pasif
✅ Tidak terlalu peduli harga saham naik-turun harian
✅ Fokus jangka panjang

1 $IPCM
2 $IPCC
3 $BSSR
4 $ADMF
5 $SIDO
6 $BNGA
7 $AADI
8 $BJBR
9 $BJTM
10 $SMSM
11 $TUGU
12 $TOTL
13 $MPMX
14 $CLPI
15 $DMAS
16 $POWR
17 $HMSP
18 $UNVR
19 $BMRI
20 $BBNI
21 $BBRI

disclaimer on

[Kang Heriko @heri_ko68]

Disaat 1 dollar udah nyentuh Rp. 18.000 +

BERBURU CUAN LEWAT INTERNET 💰

MICROSTOCK :
Shutterstock • Adobe Stock • Pond5 • Getty Images • Depositphotos • Vecteezy • Dreamstime • Freepik • 123rf • Alamy

TUTOR :
Preply • Superprof

SURVEI :
YouGov • AttaPoll • Swagbucks • Prime Opinion • LifePoints • Freecash • Surveyon • Ipsos iSay • Pawns • Google Survei Berhadiah

AFFILIATE :
Shopee • TikTok

MONETIZE :
Facebook • X • YouTube

FREELANCER :
Fastwork • Sribu • Fiverr • Upwork • Freelancer

PRINT ON DEMAND :
Redbubble • Teepublic • Zazzle • Printful • Printify • Gelato • Society6

DIGITAL PRODUCT :
Etsy • Gumroad • Creative Market • Mayar

NULIS :
KBM • KaryaKarsa • Good Novel • Noveltoon • Dreame • IDN Times • Medium • Substack

BACA NOVEL & NONTON :
Fizzo • Melolo • Freereels

[Onno W. Purbo @onnowpurbo]

eBook catatan ngoprek AI SOC menggunakan Wazuh dan Ollama
https://t.co/LTPe7qXxJO (DOC)

Source Code
https://t.co/i39QHwsVWj (ZIP)
https://t.co/ToRel4V7CZ (tar.gz)

[oxbfnohome @OxbfnoHome]

TUTORIAL BIKIN AGENT DI HERMES TANPA BANYAK BACOT (KHUSUS IQ 78 KE ATAS)

karna banyak orang indo yang ngak mau di edukasi tentang ai jadi gw akan bikin tutorial lengkap cara build agent dari awal tanpa banyak bacot cuman 1 postingan aja

yang ngak suka membaca dan yang ngak mau belajar skip aja

sebelum masuk ke tutorial bagi yang belum paham apa itu ai agent,lu cari aja sendiri di google atau ai kalau belum ngerti juga, prompt di ai bilang jelaskan ke saya apa itu ai agent menggunakan bahasa bayi

tutorial sekarang gw jelaskan untuk agent hermes,kenapa ngak openclaw?
karna bagi yang awam dan ngak ada skill coding untuk build agentnya susahnya mintak ampun dan waktu mu akan terbuang"

langsung saja

- pertama lu pergi ke https://t.co/yFNnZxYeYS sesuaikan dengan perangkat yang lu pake,gw sendiri masih make windows dan syaratnya harus windows 10/11

- untuk install ada 2 opsi lu pilih install hermes desktop atau install via terminal itu pilihan masing", gw sendiri install keduanya

- untuk yang download via terminal nantik lu salin dan masukan ke terminal,kalau untuk windows sendiri seperti ini " irm https://t.co/abJwgGIa0K | iex "

- saat ke install lu tunggu aja jangan pencet apapun,nantik hermes akan dowload otomatis apa saja yang diperlukan agent

- kalau udah siap,ketik aja di terminal "hermes setup"

- nantik lu akan di suruh milih provider,bagi yang belum tau,provider ini seperti konter internet, yang menyediakan berbagai macam voucher internet,nah voucher internet ini disebut juga dengan model,model ini dipake sebagai otaknya ai agent lu, model banyak variannya, lu bisa liat disini https://t.co/Lb0Lw2KWgG untuk melihat model apa yang paling bagus dan yang rame di pake saat ini

- untuk provider saran gw pake openrouter bisa login disini https://t.co/oNR9Iy2A7C nah yang baru join kalau ngak ada duit buat isi credit masukin code ini (OR-DEVFUN-ARENA26) nantik lu akan dapat 10$ credit, check di komen buat yang ingin apikey gratis lainnya

- setelah itu lo bikin api key (kunci otak agent lo) di openrouter nantik keynya akan di tampilkan sekali jadi salin, apikeynya berbentuk sk-or-v1******* seperti gitu

- setelah milih openrouter nantik pilih model yang lu inginkan, ingat karna lu punya credit 10$ dari code yang gw kirimin,lu harus berhemat terlebih dahulu, pilih model yang paling hemat deepseek v4 flash / mimo v2.5 ,kesalahan awal gw saat bikin agent karna salah milih model dan credit gw habis di sedot,jadi pastikan lu jangan salah pilih model

- jika sudah nantik lu di suruh milih dimana agentnya akan chat lu, nantik akan ada opsi seperti telegram,discord, whatsaap, dan lainnya
gw sendiri masih pake telegram,karna lebih mudah dan ngak ribet

- untuk yang pilih telegram cari pencarian lu di telegram @BotFather ,nantik tekan start , lalu ketik /newbot ,bikin nama bot lu masing",di akhir nantik akan di kasih bot token,bot token ini lu salin dan nantik masukan tokenya di terminal

- setelah ngisi bot token nantik hermes mintak UID,ini id akun telegram kalian sendiri,lu bisa cari id telgram lu di @Userinfokbot cari di pencarian telegram ,ketik start nantik id akun lu muncul,salin dan masukan ke hermes

- nantik ada beberapa pilihan dari hermes lu bisa salin dan tanya ai aja,supaya lu ngak bingung sendiri

- setelah selesai coba chat agent lu di telegram,kalau ada balasan,berarti lu sudah berhasil build agent lu sendiri

kenapa gw ngak bahas vps??
karna buat yang awam ngak perlu vps terlebih dahulu,jangan kebanyakan gaya di awal, gw aja sampe sekarang masih belum pake vps,karna gw mau build agent gw secanggih mungkin dan nantik jika sudah bagus agent lu dan butuh pekerjaan otomatis baru lu pake vps

lu boleh buang duit untuk belajar ai,tapi jangan setelah lu sewa vps lu malah off, memang bagi sebagian orang duit 10$ itu kecil,tapi jangan pernah buang" duit lu untuk hal yang ngak berguna, di bearmarket sekarang ini sangat sulit untuk make money, jadi pentingnya untuk berhemat sekarang ini

untuk apikey,gunakan apikey gratis dahulu,check di comentar nantik gw kasih beberapa apikey gratis,buat bahan belajar kalian
yang masih bingung atau ada yang ingin ditanyakan bisa dm gw aja,gw pasti ngebantu kalian kok