@OfficialSamkayz@wahabind The point remains that if you’d have an issue with 100 trillion kobo, then you’d have an issue with 100 trillion naira. I genuinely don’t see the issue with storing 100 trillion kobo. We see issues like this all the time with payments that run to 8 decimal places like BTC.
If you’re new to technical analysis and the math involved, I made it easier for you to analyse charts.
I’ll add automation over time so it can also take trades for you.
Head over to https://t.co/qJelkmBp6T
DOMINIOS GRATIS DE POR VIDA. SIN TRUCO.
Este repo tiene 153K stars en GitHub y es una locura que exista:
→ Registro gratis y renovación gratis, para siempre
→ Sin costes ocultos ni publicidad
→ Compatible con Cloudflare, FreeDNS y otros proveedores DNS
→ Más de 400.000 dominios ya registrados
Vale para proyectos personales, demos, side projects o aprender sin gastar un euro.
Es un proyecto sin ánimo de lucro de la DigitalPlat Foundation.
Open source de verdad.
Enlace abajo 👇
Everyone is complaining about how to raise money. Please, if you want to raise money as a Nigerian business and you have between N100m and N1B in revenue, you're profitable, and have at least 3 years of financial records please send an email to [email protected]
We would like to speak to you.
In your email include the name of your company, the location and what it does.
We have many people in Nigeria and diaspora willing to give you money.
Don't say we never did anything for you.
(Please retweet for reach. Thank you).
If I had to start one AI side hustle in 2026, this would be it.
A local newsletter that pulls $2K+/month run entirely by a team of 4 AI agents. The founder (Lucas Walter) has never written a single edition.
This is a copy/paste-able system that could by applied to any city in the world.
Here's the agent setup👇
→ A Growth Engineer agent scrapes every local news site, subreddit, and event calendar at 6am daily. It also manages all the Facebook ads for the subscriber growth
→ A Content Director reads the database and writes the weekly newsletter in his voice every week
→ A Sales Director handles every inbound advertiser — email back-and-forth, package pitching, AI-generated ad creative
→ A CEO agent orchestrates all three and reports back to him
Results from Lucas's newsletter, 'Spokane Pulse':
- 7,400 subscribers
- 47.5% open rate (industry avg 20–30%)
- ~11% click-through rate
- $2K/month in ad revenue and growing
- Under 4 hours/week of human-in-the-loop
Now imagine running this same system for YOUR city.
I linked to Spokane Pulse in the comments so you can check it out for yourself.
Like & Comment "Newsletter" and I'll send you the full course that gives you the playbook + the exact agent setup as a one-click import.
(must be following so I can DM)
HOW TO CONNECT YOUR ROBINHOOD AGENTIC ACCOUNT TO YOUR AI OF CHOICE
A THREAD…🧵
Happy to share the prompts and files to get the cron job triggered.
Please just do 3 things:
1) Like and follow
2) retweet to help get the word out
3) comment saying “GO SPURS GO”
I will check my DM’s and prioritize those who did those 3 things :)
Hi, I'm Emmanuel (BatManny).
Product Designer focused on UX, Web3, and AI products.
I design experiences that make complex products feel simple, intuitive, and enjoyable to use.
Currently looking for my next opportunity.
Portfolio: https://t.co/czlV8pLdYs
Open to full-time roles, contracts, and collaborations. 🚀🦇
Un laboratorio chino acaba de humillar a media industria del video.
Subes una foto y un audio, sale un avatar hablando en sincro. Open source.
Lo que antes era agencia, cámara y edición ahora parece un repo.
Se llama LongCat-Avatar.
Karpathy found a way to reduce token consumption by 90%
The problem is that the LLM re-reads the same files over and over again, loses context between documents, and provides less accurate answers as a result
The solution is called Wiki Layer the LLM cleans, structures, and links all your data once, after which it never works with raw files again
Three folders `raw/` for originals, `wiki/` for a clean knowledge base in Markdown, and files with rules for the agent
Result up to 90% token savings on repeat queries, automatic links between documents, and a visual knowledge graph in Obsidian
Everything stays on your local machine nothing goes to the cloud
@orr_shalit Everytime I build sth, I always add a button under “how it works” that you could click and it would explain everything like a 5 year old. Just a long text dumbing it down as much as possible.
Jane Street, Goldman Sachs, JP Morgan, BlackRock, Hudson River Trading, Two Sigma, D.E. Shaw.
The most expensive engineering teams in the world released their financial tools on GitHub. Here are 7 repos, one from each.
1. Jane Street, janestreet/magic-trace
https://t.co/a2G20vnewK
5.3k stars. Process tracer powered by Intel PT. When your profiler is blind, magic-trace sees every CPU instruction.
2. Goldman Sachs, goldmansachs/gs-quant
https://t.co/SMYFwP3TWD
Derivative pricing the GS traders use at their desks. MIT licensed.
3. JP Morgan, finos/perspective
https://t.co/9rgy6FxYt4
What JPM traders use to watch markets in real time. A $24k/year terminal, for free.
4. BlackRock, blackrock/lcso
https://t.co/iHwsxZDZD9
Rust optimizer for portfolio problems. Where scipy gives up, this works.
5. Hudson River Trading, hudson-trading/corral
https://t.co/YhmrQFmYaZ
Structured concurrency for C++20. The foundation of HFT infrastructure at one of the largest U.S. trading firms.
6. Two Sigma, twosigma/flint https://t.co/ebEFqcDxJ6
Time-series joins on Apache Spark with temporal tolerance. Built for billions of ticks.
7. D.E. Shaw, deshaw/pyflyby https://t.co/uYDQKtnDVd
Auto-import for IPython and Jupyter. D.E. Shaw also funded the development of IPython itself.
Bookmarked it
Jane Street rejected this vibe-coder at $385K/year because he refused to use Claude Code
32-min of vibe coding RIGHT during an interview at a Tier 1 fund
you watch the entire process: live coding, pressure questions, the moment they realize his stack doesn't match theirs
every Tier-1 fund is now filtering candidates by tool stack. Claude Code is the new compliance
Bookmark & Watch tonight
Yes, it works but I want to have extended data for a few more weeks. Max profit was 400%, max drawdown was 28% (very volatile pairs, works on memecoins too). Average Sharpe was 2.2.
I want to plug it into hyperliquid and see how well it does on its own this week.
Over the weekend I built an app that you can paste the link to any chart from and it can pull the OHLCV data and run analysis and prediction models over a timeframe.
It adjusts depending on your strategy (FVG, RSI, MACD), Bollinger and Monte Carlo and the math, Dr Lopez Lira.