Ismal Zikri

Software engineer - Frontend. doing research about machine learning at night 🥷🏻 #Madridista🤴🏻

[Ismal Zikri @ZikriIsmal]

@felixprehn AI

[Ismal Zikri @ZikriIsmal]

@anggadmnk "uang ketabung ga kepakai"

do some investment on assets maybe..

[Andrew Hart @AndrewHart]

Craziest DM I ever received, from a VP at a global retailer: "Our app is shit and we know it's shit". I met her for coffee and she asked me if I could solve the biggest unsolved problem in retail.

This is a deep dive into why and how Hyper built a 1m-accurate indoor GPS.

This DM arrived in 2017. My outdoor AR navigation demos had just gone viral, and my new open-source project for Apple had elevated me to be the top trending iOS developer on GitHub.

The retail exec told me they wanted to bring indoor maps and navigation to their retail stores, so customers could find what they’re looking for, and they could pop up relevant promotions along the way. It turns out that every office, university, events venue, hotel, airport, warehouse, factory — basically everywhere indoors have some need to navigate people around, provide relevant information, and improve efficiency.

I assumed this was a solved problem. No. They do have maps on their app, but they aren’t able to navigate people because GPS doesn’t work indoors. They tried every solution out there to provide the blue dot, but nothing worked.

I did know something about maps and location already — the first startup I worked at built an early version of Pokemon Go. I’d been tasked with generating the gamified maps, and populating the monsters and rewards. So I knew a bit about maps, coordinates and GPS — and monster training. But indoor navigation was new to me.

Over the years, I’ve slowly become an expert in this, so let me explain. For indoor navigation to work well, the blue dot location needs to be 2x as accurate as a strong GPS signal. An aisle in a store is usually about 2 meters wide, so an accuracy wider than 2 meters would be fixing you in the wrong aisle.

There are many research studies aimed at solving this, and Apple and Google have made acquisitions to help them in this area over the years. There were also many startups who claimed to have solutions, but when I spoke to their customers, I discovered that they weren’t happy with anything they’d tried:
- Bluetooth beacons. Install thousands of these small sensors, which are a bit like AirTags, and use them for triangulation. But the bluetooth signals are noisy, making the location about 5 meters accurate, so it would jump you between multiple aisles in a store. Plus, lots of infrastructure to maintain.
- WiFi. More promising than beacons, because every business has WiFi installed already. But the same radio signals problem means the location isn’t accurate enough.
- Magnetomers, which use the earth’s magnetic field. This one sounded more promising. But it takes several minutes of walking around until it will give you a “blue dot”. So this was a bad user experience.
- Computer Vision, which works like Google Street View. The user holds up their phone to scan the environment, it recognises their surroundings and locks them in. But this is clunky for the user, and they need to do this repeatedly every time they want a location update. Once again, bad user experience.

Here’s an example of Apple’s own accuracy using WiFi. (I’ll show our own performance on these same sessions further down).

[Ismal Zikri @ZikriIsmal]

@rmdn_hani Damnn

[Ismal Zikri @ZikriIsmal]

Hi, aku mau share loker dari side job company aku,
senior frontend engineer, highly skill on react + react native.

ON SITE di bali,
Salary start at 25jt++

vacancies: 2 org.
boleh kirim cv nya di dm yah.

[Aiden Bai @aidenybai]

if Cursor writes this React code, DON'T ACCEPT IT!

i spent the last 2 weeks fixing unnecessary useState + useEffect sync. this is unmaintainable and adds tech debt

unless you have a good reason, don't do this!

[Ismal Zikri @ZikriIsmal]

Bai jekardah…

[Ismal Zikri @ZikriIsmal]

TF

[GitHub Projects Community @GithubProjects]

ANUS is a powerful open-source AI agent framework for automating complex tasks with natural language.

-> No invite code unlike MANUS.

[Ismal Zikri @ZikriIsmal]

abah anceee 🤍

[Ismal Zikri @ZikriIsmal]

🙏🏻

[Troll Football @TrollFootball]

The most useless 1st place in the history of football.

[Ismal Zikri @ZikriIsmal]

saya suka perdebatan di pagi hari xixi..

[Ismal Zikri @ZikriIsmal]

njirrr mau di tembak sama arsenal ...

meriam mau meruntuhkan kerajaan 🔥

[Arsenal @Arsenal]

A quarter-final showdown with Real Madrid awaits.

[Ismal Zikri @ZikriIsmal]

"You never walk Alone"

respect banget sama liverpool, mereka deserve menurut gue Thropy UCL musim ini,sebagai madridista, sangat ikhlas ga dapet UCL musim ini, trust me gess, tidak satupun dari london akan ke final klo itu bukan liverpool!

you guys deserve it more better!

[Liverpool FC @LFC]

We exit the Champions League on penalties. #UCL

[Ismal Zikri @ZikriIsmal]

https://t.co/5NfgFTvRlR

[Travis Fischer @transitive_bs]

Microsoft is porting the TS compiler to Go for a massive native speedup – amazing!

But why not Rust / C# / etc?

Here's @ahejlsberg explanation from his @wesbos interview:

[Ismal Zikri @ZikriIsmal]

damn...

why not rust? because...

[Anders Hejlsberg @ahejlsberg]

Thrilled to announce... https://t.co/bC9ZVGfDco

[Ismal Zikri @ZikriIsmal]

bntar, ini emng semudah itukah pinjol?
berarti klo data ktp kita bocor, enak banget dong di buat pinjol?

atau harus foto selfie pake ktp?

serem njirr baru tau..
fak, malah data ktp di indo dah bnyk yg bocor lagi

[txtdrimedia @txtdrimedia]

kompol CP minta uang damai Rp 20 jt kepada seorang narkoboy

si narkoboy ga punya uang sebanyak itu. ga kehabisan akal, kompol CP minta KTP si narkoboy lalu didaftarkan pinjol

setelah duit Rp 20 jt itu cair ke tangan kompol CP, si narkoboy dibebaskan

[Ismal Zikri @ZikriIsmal]

@sarbeh_ alhamdulillahh, sukses selalu mas, semoga nular 🔥

[Ismal Zikri @ZikriIsmal]

damn....
finally ada yg bring this problem within the solution 😭

[kwindla @kwindla]

Open source, native audio turn detection 🎉🎉🎉

Most voice agents today do turn detection by waiting for speech pauses of a specific, short length. That's not how humans do turn detection when we talk to each other!

I've been working with some friends on a new turn detection model. If you're interested in this problem or in learning more about ML engineering, come hack on a small model with us!

More details below.

[Discounted Trash Flow @DiscountedTF]

I'm happy to announce that I can't take it anymore

[Ismal Zikri @ZikriIsmal]

@th_clarence