Super Bootcamp Dev Web3 Jogja berlangsung 2 bulan dan terbatas hanya 10 orang jadi lebih private dengan mentornya langsung.
Khusus mahasiswa IT/SI/komputer minimal semester 5 atau fresh graduate (maks 2 tahun dari kelulusan).
Ada proses seleksi dan interview.
Materi:
- Full AI
- Dapat fasilitas Claude Code Max 20x
- On-site Jogja.
Objektif menguasai end-to-end development software yang scalable, studi kasus membangun sistem pembayaran dengan kapasitas 100-200 transaksi perdetik.
Proud to be one of the 23 builders in @ProtocolCamp Cohort 9.
Kicking things off during SEABW made it even more special.
For the next 12 weeks, I’ll be building @RetroPickMarket: deterministic prediction markets for crypto + macro events that go beyond simple YES/NO.
Clear rules. Better market types. Source-backed evidence.
Time to ship with @Thebex_nncur
Proud to be one of the 23 builders in @ProtocolCamp Cohort 9.
Kicking things off during SEABW made it even more special.
For the next 12 weeks, I’ll be building @RetroPickMarket: deterministic prediction markets for crypto + macro events that go beyond simple YES/NO.
Clear rules. Better market types. Source-backed evidence.
Time to ship with @Thebex_nncur
Protocol Camp Cohort 9 is officially underway 🔥
23 builders from Thailand, the Philippines, Indonesia, Malaysia, Korea, and across Asia kicked off in Bangkok during @SEABWofficial. We were honored to have Mr. Muhammad Neil El Himam, Deputy Chairman for Digital & Technology Creativity at Indonesia’s Ministry of Creative Economy @ekraf_ri, and Hojin Kim, CEO at @0xShardLab, open the program with us. A powerful reminder of the momentum building around Asia's builder ecosystem.
Our builders dove straight in, competing at the Play to Build: AI Hackathon on day one, with Junghyun from BEBRIDGE taking first place and setting the tone for the whole cohort.
12 weeks. 23 builders. We can't wait to see what they ship.
Protocol Camp Cohort 9 is officially underway 🔥
23 builders from Thailand, the Philippines, Indonesia, Malaysia, Korea, and across Asia kicked off in Bangkok during @SEABWofficial. We were honored to have Mr. Muhammad Neil El Himam, Deputy Chairman for Digital & Technology Creativity at Indonesia’s Ministry of Creative Economy @ekraf_ri, and Hojin Kim, CEO at @0xShardLab, open the program with us. A powerful reminder of the momentum building around Asia's builder ecosystem.
Our builders dove straight in, competing at the Play to Build: AI Hackathon on day one, with Junghyun from BEBRIDGE taking first place and setting the tone for the whole cohort.
12 weeks. 23 builders. We can't wait to see what they ship.
The important number is not only 11.5%. It is the obligation behind it. If STRC notional is several billion, that yield turns into tens of millions in monthly cash dividends. So the real risk is simple: as long as demand stays near par, the financing loop works. If demand weakens, the yield has to work harder.
This is the right direction imo. The biggest hidden market is not the final yes/no resolution, it is the path of belief before resolution. Prediction markets cap outcome at $1, but attention, news, injuries, polls, qualifiers, and liquidity shocks move probability every day. If monthly PM volume is already around $20B+, the next unlock is probably not more event titles, but better instruments for trading probability movement itself.
@elonmusk The important part is not just that SpaceX created wealth. It is that ownership reached people most of tech Twitter never talks about. Hardware companies depend on invisible technical labor, and equity turns that labor from just a job into shared upside.
@Cointelegraph@CoinQuantX The biggest risk with AI trading agents is not that they trade.
It’s that they can scale bad assumptions faster than humans.
Backtesting, risk validation, and clear market-condition mapping will become core infrastructure for autonomous finance.
Most AI coding tools still have the same problem: they don’t compound.
Claude learns one thing. Codex learns another. Cursor understands part of your repo. Then the next session starts and everyone is cold again.
That’s why Hivemind is worth looking at: https://t.co/Tq7HELC6Tz
It gives your agents a shared memory layer across Claude Code, Codex, Cursor, Hermes, OpenClaw, and more.
The idea is simple but powerful: capture traces, find patterns, turn them into skills, and reuse them across agents.
This is probably the next step in agentic engineering. Not just better agents, but agents that remember what the team already learned.
Hope this help folks!
@elonmusk Media trust did not vanish. It became fragmented. The old model was: institution publishes, public consumes. The new model is: claim appears, network tests it, experts react, markets price it, community notes challenge it, and users decide who earned trust.
What stands out is how fast it happened. Going from under 9% to around 20%+ foreign-born in one generation changes more than demographics. It changes housing demand, schools, labor supply, politics, wages, and social trust. The real question is whether institutions adapted as fast as the population did.
Mau reshare sesuatu lagi aah
Beberapa bulan lalu, di X juga, gw nemu 1 google drive isinya ilmu semuaaa.
Nih langsung aja https://t.co/qEvuMTjGAP
Silakan belajar sepuasnya yaaa.
Semoga bermanfaat
Silakan like dan bantu repost yaa!
Product is only half the game.
The other half is distribution, positioning, and making people understand why it matters.
Building RetroPick as a deterministic event risk market for crypto-native users.
Product is only half the game.
The other half is distribution, positioning, and making people understand why it matters.
Building RetroPick as a deterministic event risk market for crypto-native users.
What takes most teams years, the Hedera Incubator compresses into 4 focused weeks. 1:1 mentorship, mainnet-ready support, and direct introductions to the Hedera Council. 10 teams. Invite-only. Register by June 12.
the fastest growing GitHub repos in finance + AI this week:
1. TradingAgents (+~2,000 ★)
multi-agent LLM trading framework built for financial research and execution. combines analyst agents, sentiment models, portfolio reasoning, and real trading firm dynamics into a single stack.
https://t.co/IvYOYlN59H
2. MoneyPrinterTurbo (+11,147 ★)
one-click short video generator powered by AI LLMs. widely used in AI-driven content monetization pipelines. biggest star spike of the week across all finance-adjacent AI repos.
https://t.co/5p10rF8Qut
3. OpenBB (+~1,500 ★)
open-source financial data platform for analysts, quants, and AI agents. covers stocks, derivatives, crypto, fixed income, and macro. actively developed with a push today.
https://t.co/M1t4gtXiWu
4. nofx (+~800 ★)
AI-native trading terminal for US stocks, commodities, forex, and crypto. real-time market data with built-in intelligent analysis and agent-ready architecture.
https://t.co/gqZFT00tYs
5. Vibe-Trading (+728 ★)
personal AI trading agent with multi-agent architecture, MCP support, backtesting, and algorithmic trading across asset classes. built by HKUDS research lab.
https://t.co/15UUXF0Zuf
6. QuantDinger (+726 ★)
AI quantitative trading platform for crypto, stocks, and forex. includes live trading, backtesting, market analytics, and integrations with Binance, Alpaca, MT5, and Coinbase.
https://t.co/x8GHftf5XX
7. FinRobot (+~300 ★)
open-source AI agent platform for financial analysis using LLMs. covers robo-advisory, report analysis, and market research. maintained by AI4Finance Foundation.
https://t.co/UgO9rdE8V7
8. ValueCell (+~250 ★)
community-driven multi-agent platform for financial applications. covers investment research, stock and crypto monitoring, and agentic finance workflows.
https://t.co/68WHsXgt4n
9. TradingAgents-AShare (+~150 ★)
Chinese A-share multi-agent investment research system built on TradingAgents architecture. 15 AI agents simulate institutional collaboration with real-time debate. supports Claude Code and Docker.
https://t.co/MXTzPt6oUY
10. sec-edgar-mcp (+~100 ★)
MCP server that gives AI agents direct access to SEC EDGAR filings. lets LLMs read and analyze 10-Ks, 10-Qs, and other public financial disclosures from US-listed companies.
https://t.co/3XP2t89jxH
bookmark this and start today.
Gue baru nemu project open source yang bikin gue langsung berhenti scroll.
Serius.
Jarang banget gue nemu sesuatu yang langsung bikin mikir, "Kenapa gue baru tahu ini sekarang?"
Namanya Everything Claude Code.
Awalnya gue kira ini cuma kumpulan prompt atau template biasa yang dibungkus dengan nama keren.
Ternyata pas gue lihat lebih dalam, ini jauh lebih gila dari yang gue bayangkan.
Mereka basically sudah nyiapin hampir semua hal yang biasanya harus lu setup sendiri selama berhari-hari bahkan berminggu-minggu.
Yang bikin gue makin excited:
🔥 30 AI agents siap pakai
🔥 64 skills bawaan
🔥 33 commands untuk berbagai workflow coding
🔥 AgentShield dengan 1.282 security tests terintegrasi
🔥 Planning, code review, bug fixing, TDD, sampai optimasi token
🔥 Support Claude Code, Cursor, OpenCode, dan Codex CLI
Dan yang paling keren?
Semua ini open source.
Gratis.
Bisa langsung dipakai.
Kalau lu pernah habisin waktu berjam-jam buat nyusun workflow AI coding sendiri, nyari agent yang cocok, setup command, atau ngatur environment dari nol, lu bakal ngerti kenapa gue semangat banget waktu nemu repo ini.
Rasanya kayak menemukan toolbox yang isinya sudah lengkap sebelum mulai bangun sesuatu.
Bukan berarti tool ini bakal otomatis bikin semua project sukses.
Tapi jelas bisa menghemat banyak waktu yang biasanya habis buat setup dan eksperimen.
Jujur aja, ini salah satu repo AI yang paling menarik yang gue temukan dalam beberapa minggu terakhir.
Dan kalau lu suka ngoding pakai AI, simpan postingan ini sekarang juga.
Karena feeling gue, beberapa bulan dari sekarang repo ini bakal ada di daftar tool yang dipakai banyak developer setiap hari. 🔖🚀