cap't

Cartographer of African Public Intelligence || Optimizing for #AfCFTA2030 || Building warplette & juju for endangered species & African Commodities.

[cap't @JariusOS]

when *social media* came, majority used it as consumers. they remained stuck that way. as the 99.9%

but the 0.1% who learned to build businesses & influence people with it, their lives changed forever.

swap *social media* to 'Artificial Intelligence'

you're probably a 99%, no?

[0xMarioNawfal @RoundtableSpace]

10 Claude Code tricks most people never use.

Number 3 alone will save you hours.

Save this for your next session.

[cap't @JariusOS]

@frankk_onchain this is a useful product idea. find a way to initiate partnerships with dexes... but first, do something impressive (maybe a report where you map the income source of the top 1000 memecoins, and show some relationship. that'd be good research)

[cap't @JariusOS]

@apex_ether @Veildotcash Tale a few weeks off, then come let's build DNA Markets.

[cap't @JariusOS]

@Akahilz2 Happy Birthday Brother

[cap't @JariusOS]

5 years of JariusOS

Do you remember when you joined X? I do! #MyXAnniversary

[cap't @JariusOS]

a worthy read

[蓝朋友 @Family59110]

你知道CZ当年为什么要发行BNB吗？

2017年，CZ决定自己创业，准备成立一家加密货币交易所，也就是后来的币安。

当时他原本经营的是交易系统软件业务，但中国监管政策变化，许多客户交易所停止运营，原来的生意也受到了冲击。

于是他决定换个方向，干脆自己做一家交易所。

但创业首先要解决一个问题：钱从哪里来？

CZ最初考虑找风险投资人融资。

结果，他在上海认识的几位VC朋友全部拒绝了他。

有人告诉他：

已经有太多加密货币交易所了，市场太饱和，没必要再做一家。

就在这时候，转机出现了。

2017年6月1日，一位名叫Linke的行业人士告诉CZ，自己正在发行ICO。

仅仅9天，Linke就募集到了1500万美元。

CZ一看，别人能做到，自己为什么不能？

于是他决定尝试ICO。

有意思的是，当时CZ自己也才刚刚接触ICO，团队里更是没人真正了解这个东西。

他回到酒店后，马上打电话给团队：

赶紧研究ICO，开始写白皮书，中英文版本三天内完成，两周内完成融资，目标1500万美元。

于是，BNB诞生了。

当时BNB的发行价是0.1美元，参与者可以用BTC或ETH购买。

它最初的主要用途，是让持币用户享受币安交易手续费折扣。CZ在白皮书中也明确说明，BNB不代表币安公司的股权。

2017年6月23日晚上7点，BNB第一次公开销售正式开始。

结果第一场销售刚开始，服务器就崩溃了。

团队后来将ICO分成五场进行。

直到7月2日，最后一场销售结束。

按照CZ在回忆录中的说法，这次ICO募集了相当于1500万美元的资金。

接下来有一个细节，我觉得特别能体现当年创业团队的状态。

融资结束那天，20个人都在办公室。

行政人员小方提议：大家应该庆祝一下。

但他们没有去高级餐厅，也没有香槟和豪华晚宴。

只是叫了一顿稍微丰盛一点的外卖。

办公室只有两张拼在一起的小桌子，空间小到同时只能容纳四个人围坐。

20个人只能轮流打饭，然后回到自己的办公桌旁吃。

CZ说，这是团队连续忙碌三个星期以来，第一次能够一起吃上一顿饭。

为了感谢大家的辛苦付出，CZ宣布给每位员工额外发一个月工资的BNB，按照当时0.1美元的发行价计算。

这里还有一个意外的故事。

几年后，财务团队告诉CZ，他在币安竟然还有一个没使用过的账户，里面存着50000枚BNB。

原来当年发放员工奖励时，财务也把他算进去了。

当时CZ的月薪是5000美元，所以这笔奖励正好是50000枚BNB。

等他发现时，BNB已经涨到480美元一枚。

这笔当年自己都不知道的工资奖励，价值已经达到2400万美元。

但真正的考验才刚刚开始。

2017年7月14日，币安正式上线。

CZ满怀期待地盯着交易页面，倒计时结束，BNB开始交易。

结果屏幕上出现的几乎全是卖单，完全没有买单！

随后好不容易出现一些低价买单，也很快被成交，BNB价格继续下跌。

刚刚完成融资的团队，一下子安静了下来。

CZ在书中回忆，他当时忍不住小声嘀咕：

这情况不太妙吧？

接下来，团队继续完善交易所、增加BNB的使用场景，努力吸引用户。

2017年8月8日，币安正式宣布何一加入。

有意思的是，CZ回忆，何一加入后，BNB开始出现反弹。

到了8月9日，BNB已经从低于发行价40%的位置，重新回到发行价上方。

接下来的三个星期，BNB价格持续上涨。

到8月24日左右，一度达到2.9美元。

相比0.1美元的发行价，涨了整整29倍！

CZ自己也说，他无法准确解释BNB为什么涨得这么快。他认为，这是社区增长、BNB使用场景增加和市场周期共同作用的结果。

从最初被投资人拒绝，到20个人挤在办公室吃外卖，再到上线第一天遭遇大量卖单，最后BNB涨了29倍。

这就是CZ在《Freedom of Money》中讲述的币安创业初期。

现在回头看，我觉得最有意思的不是BNB后来涨了多少，而是当年那20个人。

一群人挤在办公室里，轮流打饭，吃着外卖，拿着当时价值并不高的BNB工资。

谁又能想到，几年之后，这些代币可能改变他们的人生。

[Vox @Voxyz_ai]

𝗖𝗼𝗱𝗲𝘅 𝘁𝗶𝗽: if you still have half your quota left when it resets, you’re throwing away days of Astra and Sol.

Use `/goal` to squeeze every last bit out of it and clean out what months of vibe coding piled up: dead code nothing calls, the same logic written several times over, dependencies you don’t need, old sessions and worktrees hogging your disk, or even scheduled tasks that have been running for nothing.

Here are 5 prompts and goals you can copy-paste directly. ↓

[cap't @JariusOS]

@Akahilz2 @warplette WAGMI after this cook

[cap't @JariusOS]

The battles at FCBC Club Arena would be legendary!

Buy DNA tokens of PureBreeds now.

We are rebuilding https://t.co/iev3PZNjg1

[Jojo Dollar @Jojodolz]

Look at these beauties! 🥰

Imagine being their custodian

I'm really looking forward to seeing Fyre Hybrids on the TL!

#FHEv1

[cap't @JariusOS]

What did I accomplish today?

10x

[cap't @JariusOS]

Fyre Hybrids will be coming up our TL shortly

#FHEv1

[GREG ISENBERG @gregisenberg]

running a company nowadays feels kinda dystopian

my team is 50+ people in 12 countries, but i talk to my agents more than my human teammates

- voice note to grokbot
- mattpocock/skills /grill-me so the agent interrogates the idea before anything gets built
- spec drops into linear through the linear mcp
- exa + firecrawl agent reads every competitor site, pricing page and changelog
- https://t.co/a5ARFnvSnA to find ideas and trends
- apify pulls g2, reddit and app store reviews
- prompt: "find the 10 complaints that show up most and quote the users"
- context7 so the agent reads the latest docs before it touches any api

the design

- claude code + paper mcp
- 4 versions of every screen before a single line of code
- pick pieces from 2, it merges them. diverge then converge
- frontend-design skill from anthropic/skills + our own design system skill
- cleanshot screenshots of any ui i like go straight in with "make it feel like this"

the build

- pingdotgg/t3code as the control surface for every agent, from my phone too
- stablyai/orca runs a fleet of agents in parallel, each in its own git worktree
- graphify maps the whole codebase into a knowledge graph so agents navigate instead of guess
- headroom compresses tool outputs before they hit the model, so tokens go 20-95% further
- lsp plugins so the agent sees types and errors like an ide does
- security guidance hook flags risky edits before they land
- supabase mcp for the database, stripe for billing
- github mcp opens the pr, vercel spins up a preview
- loops run overnight, i check what shipped over coffee

the user testing

- lightpanda as the headless browser, way lighter than chromium so you can run hundreds at once
- agents click every flow on the preview like a first-time user
- one persona is impatient, one is confused, one is on a phone
- playwright + chrome devtools mcp for regression tests

the bugs

- sentry mcp catches the error
- agent reads the stack trace and opens a fix pr in under 10 minutes
- human just approves

the data

- posthog mcp cron at 7am on yesterday's funnel
- any step that drops more than 10%, the agent watches 20 session replays and tells me why
- stripe mcp pulls every cancellation reason into one doc every monday

the agents' tools

- orgo so every agent gets its own computer
- agentmail so every agent gets its own inbox
- agentphone so i can call them from the car
- composio connect-apps for every other connector
- akitaonrails/ai-memory, a git-backed markdown wiki so they remember what we decided last week

the skills

- wshobson/agents so skills work across claude code, codex and opencode
- my writing voice
- our design system
- how we write specs
- skill creator so the agents write new skills themselves

some helpful tricks

- one agent per platform. the x agent never touches email
- cheap model for triage, opus for anything that ships
- every output gets scored 1-10 by an llm judge. under 8 goes back
- every agent writes a 5-line log at night so i can read the whole company in 2 minutes
- every agent mistake becomes a new skill, so it only happens once

the team

- humans get version 5, not my voice note which they are happy about lol
- their job is creative feedback, relationships and telling the agents what they got wrong

a human pm reviews the funnel once a week. this reviews it every morning

running a company is now voice notes and inference

[cap't @JariusOS]

@toady_hawk @clanker_world Love Clank

[DeepSeek Harness @DeepSeekHarness]

https://t.co/gwwIHtyCRQ

[cap't @JariusOS]

Oh @naval! What do you see for 2036 Sensei!

[Naval @naval]

@nikitabier We could have an interregnum between bulk air travel (today) and personal air travel (4-passenger drones). International may be especially difficult.

https://t.co/2cxIXyGl1a

[cap't @JariusOS]

Fyre Hybrids logic

[cap't @JariusOS]

TerraChi

[devin @corlew_]

Hyperliquid

[cap't @JariusOS]

@jon_d_doe I guess it's more common than I assumed.

[Bhavyam Arora @AroraBhavyam]

No revenue, users, or even a product...
These 10 funds will still write you a cheque (yes, you read it right):

1. Afore Capital (@AforeVC) - a $500M fund that only does pre-seed. Backs you before traction, even before a company

2. Kima Ventures (@2lr) - Xavier Niel's fund. 2 startups a week, ~100 new deals a year

3. Pareto Holdings (@edwardlando) - invests only its own money. Edward has been early in 35+ unicorns

4. Precursor Ventures (@chudson) - often your first institutional cheque, before the product even exists

5. Village Global (@villageglobal) - pre-seed network backed by Bezos, Gates and Zuckerberg

6. Pear VC (@pearvc) - pre-seed + seed, runs PearX, cheques from $250K

7. Boldstart (@Boldstartvc) - "the inception fund". First cheque for technical founders in dev tools, security + AI infra

8. Kindred Ventures (@stevejang) - Steve was early in Uber, Coinbase and Perplexity

9. Unshackled Ventures (@UnshackledVC) - pre-seed for immigrant founders, with visa support

10. Inflection Point Ventures (@ipventures_in) - 21,000+ angels, 250+ startups funded 🇮🇳

At pre-seed, nobody buys your numbers; they bet on you.

Follow @arorabhavyam for more content around founder programs, investors and AI! 🫡

[cap't @JariusOS]

take the next 6 weeks to learn all you can about ANY of these subjects.

find 25 startups/founders building on those frontiers.

connect/contribute meaningfully to those products

find small utility gaps & create value over them

summarise that experience in an X article

Hola