Jamisi⚡

@jamisi_

Data analyst | BI analyst | Driving Business insights through data-driven solutions🔎📊

Nigeria

Joined April 2017

644 Following

654 Followers

1.8K Posts

Pinned Tweet

Jamisi⚡ @jamisi_

over 1 year ago

🧵I built a complete data pipeline from the CBN's API endpoint to Power BI. It’s not just about the dashboard, it’s a journey of learning how the whole workflow in data analytics works. The dashboard visualizes the trend of Naira exchange rates against 8 other world currencies3

jamisi_'s tweet photo. 🧵I built a complete data pipeline from the CBN's API endpoint to Power BI.
It’s not just about the dashboard, it’s a journey of learning how the whole workflow in data analytics works.
The dashboard visualizes the trend of Naira exchange rates against 8 other world currencies3 https://t.co/HQOeLSgDtX

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Jamisi⚡ @jamisi_

4 days ago

I'm now just a silent observer on this app 😑

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Jamisi⚡ @jamisi_

4 days ago

@D4NI30 @pamilhereen 😂

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jamisi_ retweeted

3 months ago

Hi guys, I built an open-source alternative to @pewbeam_ai in one week. https://t.co/WwyVRtv8H3 Started coding during a Sunday church service. By the following Sunday, we were using it live during our church service. Wild. Here's what Rhema does: it listens to your pastor's sermon in real-time, detects Bible verse references as they're mentioned, and displays them on screen instantly. No manual clicking, no dedicated slide operator needed. The tech stack: - Tauri 2.0 with a Rust backend handling all the heavy lifting: audio capture, transcription pipeline, verse detection logic, and system tray integration - Local AI embeddings using Qwen3-0.6B so everything runs on-device with zero cloud dependency. Your sermons never leave your machine - Real-time audio transcription paired with semantic search against a full Bible verse database The Rust backend was a deliberate choice. We needed low latency audio processing and efficient memory usage for running an embedding model locally, and Rust delivers on both. Is it perfect? Probably not. But the core functionality works and we're already using it in a real church environment This is where you come in. Rhema is fully open source and we need contributors to help take it to the next level. Whether it's improving the verse detection accuracy, adding multi-language support, building a better overlay UI, adding support for more Bible translations, or optimizing the transcription pipeline, there's real work to be done and real impact to be made. If you're a Rust developer, a frontend engineer, an ML enthusiast, or just someone who loves building tools for the church, come build with us. Star the repo. Fork it. Open a PR. Let's make this the go-to open-source solution for live Bible verse display in churches worldwide. https://t.co/WwyVRtv8H3

FOjebiyi's tweet photo. Hi guys, I built an open-source alternative to @pewbeam_ai in one week.

https://t.co/WwyVRtv8H3
Started coding during a Sunday church service. By the following Sunday, we were using it live during our church service. Wild.
Here's what Rhema does: it listens to your pastor's sermon in real-time, detects Bible verse references as they're mentioned, and displays them on screen instantly. No manual clicking, no dedicated slide operator needed.
The tech stack:
- Tauri 2.0 with a Rust backend handling all the heavy lifting: audio capture, transcription pipeline, verse detection logic, and system tray integration
- Local AI embeddings using Qwen3-0.6B so everything runs on-device with zero cloud dependency. Your sermons never leave your machine
- Real-time audio transcription paired with semantic search against a full Bible verse database

The Rust backend was a deliberate choice. We needed low latency audio processing and efficient memory usage for running an embedding model locally, and Rust delivers on both.

Is it perfect? Probably not. But the core functionality works and we're already using it in a real church environment

This is where you come in. Rhema is fully open source and we need contributors to help take it to the next level. Whether it's improving the verse detection accuracy, adding multi-language support, building a better overlay UI, adding support for more Bible translations, or optimizing the transcription pipeline, there's real work to be done and real impact to be made.
If you're a Rust developer, a frontend engineer, an ML enthusiast, or just someone who loves building tools for the church, come build with us.
Star the repo. Fork it. Open a PR. Let's make this the go-to open-source solution for live Bible verse display in churches worldwide.
https://t.co/WwyVRtv8H3

FOjebiyi's tweet photo. Hi guys, I built an open-source alternative to @pewbeam_ai in one week.

https://t.co/WwyVRtv8H3
Started coding during a Sunday church service. By the following Sunday, we were using it live during our church service. Wild.
Here's what Rhema does: it listens to your pastor's sermon in real-time, detects Bible verse references as they're mentioned, and displays them on screen instantly. No manual clicking, no dedicated slide operator needed.
The tech stack:
- Tauri 2.0 with a Rust backend handling all the heavy lifting: audio capture, transcription pipeline, verse detection logic, and system tray integration
- Local AI embeddings using Qwen3-0.6B so everything runs on-device with zero cloud dependency. Your sermons never leave your machine
- Real-time audio transcription paired with semantic search against a full Bible verse database

The Rust backend was a deliberate choice. We needed low latency audio processing and efficient memory usage for running an embedding model locally, and Rust delivers on both.

Is it perfect? Probably not. But the core functionality works and we're already using it in a real church environment

This is where you come in. Rhema is fully open source and we need contributors to help take it to the next level. Whether it's improving the verse detection accuracy, adding multi-language support, building a better overlay UI, adding support for more Bible translations, or optimizing the transcription pipeline, there's real work to be done and real impact to be made.
If you're a Rust developer, a frontend engineer, an ML enthusiast, or just someone who loves building tools for the church, come build with us.
Star the repo. Fork it. Open a PR. Let's make this the go-to open-source solution for live Bible verse display in churches worldwide.
https://t.co/WwyVRtv8H3

FOjebiyi's tweet photo. Hi guys, I built an open-source alternative to @pewbeam_ai in one week.

https://t.co/WwyVRtv8H3
Started coding during a Sunday church service. By the following Sunday, we were using it live during our church service. Wild.
Here's what Rhema does: it listens to your pastor's sermon in real-time, detects Bible verse references as they're mentioned, and displays them on screen instantly. No manual clicking, no dedicated slide operator needed.
The tech stack:
- Tauri 2.0 with a Rust backend handling all the heavy lifting: audio capture, transcription pipeline, verse detection logic, and system tray integration
- Local AI embeddings using Qwen3-0.6B so everything runs on-device with zero cloud dependency. Your sermons never leave your machine
- Real-time audio transcription paired with semantic search against a full Bible verse database

The Rust backend was a deliberate choice. We needed low latency audio processing and efficient memory usage for running an embedding model locally, and Rust delivers on both.

Is it perfect? Probably not. But the core functionality works and we're already using it in a real church environment

This is where you come in. Rhema is fully open source and we need contributors to help take it to the next level. Whether it's improving the verse detection accuracy, adding multi-language support, building a better overlay UI, adding support for more Bible translations, or optimizing the transcription pipeline, there's real work to be done and real impact to be made.
If you're a Rust developer, a frontend engineer, an ML enthusiast, or just someone who loves building tools for the church, come build with us.
Star the repo. Fork it. Open a PR. Let's make this the go-to open-source solution for live Bible verse display in churches worldwide.
https://t.co/WwyVRtv8H3

FOjebiyi's tweet photo. Hi guys, I built an open-source alternative to @pewbeam_ai in one week.

https://t.co/WwyVRtv8H3
Started coding during a Sunday church service. By the following Sunday, we were using it live during our church service. Wild.
Here's what Rhema does: it listens to your pastor's sermon in real-time, detects Bible verse references as they're mentioned, and displays them on screen instantly. No manual clicking, no dedicated slide operator needed.
The tech stack:
- Tauri 2.0 with a Rust backend handling all the heavy lifting: audio capture, transcription pipeline, verse detection logic, and system tray integration
- Local AI embeddings using Qwen3-0.6B so everything runs on-device with zero cloud dependency. Your sermons never leave your machine
- Real-time audio transcription paired with semantic search against a full Bible verse database

The Rust backend was a deliberate choice. We needed low latency audio processing and efficient memory usage for running an embedding model locally, and Rust delivers on both.

Is it perfect? Probably not. But the core functionality works and we're already using it in a real church environment

This is where you come in. Rhema is fully open source and we need contributors to help take it to the next level. Whether it's improving the verse detection accuracy, adding multi-language support, building a better overlay UI, adding support for more Bible translations, or optimizing the transcription pipeline, there's real work to be done and real impact to be made.
If you're a Rust developer, a frontend engineer, an ML enthusiast, or just someone who loves building tools for the church, come build with us.
Star the repo. Fork it. Open a PR. Let's make this the go-to open-source solution for live Bible verse display in churches worldwide.
https://t.co/WwyVRtv8H3

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Tony | Onchain & Chill

@HeyTonyOnchain

Sharing DeFi alpha | Sui hunter | Comment king | Farming REP & YAP

The Bijuu are nine tailed beasts formed by Hagoromo Otsutsuki from the Juubi, or Ten Tails, to prevent corruption. Each Bijuu has a name that corresponds to the

Jamisi⚡ @jamisi_

4 months ago

@Tunde_OD Orere elejigbo Osupa Dibe nuwa 😍😍😍

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Jamisi⚡ @jamisi_

5 months ago

@Johnsontaiwo_ Roadmap

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Jamisi⚡ @jamisi_

5 months ago

@Theoofold Wwww! Congratulations 🎉👏🥳

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Jamisi⚡ @jamisi_

5 months ago

- Have clear career goals in data or tech - Are ready to dedicate time each week to learning and completing courses Please note: Slots are limited. Selection will be based on career clarity, commitment, and motivation. Apply here: https://t.co/z0Wfre0KbF Deadline: 21st Feb.

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Jamisi⚡ @jamisi_

5 months ago

Hello #Datafam I'm excited to announce a limited DataCamp Scholarship for individuals who are willing to build a career in Data Analytics, Data Science, or related fields. This opportunity is for motivated learners who: - Are committed to growing their data skills

jamisi_'s tweet photo. Hello #Datafam
I'm excited to announce a limited DataCamp Scholarship for individuals who are willing to build a career in Data Analytics, Data Science, or related fields. This opportunity is for motivated learners who:
- Are committed to growing their data skills https://t.co/R20qc29AHh

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Jamisi⚡ @jamisi_

5 months ago

The Movie: Blue Miracle 🤩

5 months ago

The winner of the biggest catch at the Argungu fishing festival, Abubakar Usman, went home with a brand new car and 10m Naira prize.💰🐟 His fish weighed 59kg. Wait what if next year I register for this festival, buy a very big fish above 70Kg about 50 000 Naira then hide it close to the river. On festival day, I go and remove the fish and present it and collect 10 million Naira and a brand new car How will they catch me?

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Jamisi⚡ @jamisi_

5 months ago

@UtdMaI Amennn!

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Jamisi⚡ @jamisi_

6 months ago

@MercyOnTheTL @grok Been a while since I saw your tweet here

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Jamisi⚡ @jamisi_

6 months ago

I miss those days of "write a letter to your pen pal" 😂

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Jamisi⚡ @jamisi_

6 months ago

I play for both

TheCreativeMagician 👩‍💻✨️

6 months ago

Sorry, me I don’t miss you YouTube music has me now 😹 Would you rather pay 1600 for Spotify premium, than pay 1800 for YouTube Premium(which gives you premium access to YouTube videos and YouTube music)?

IniskiDesigns's tweet photo. Sorry, me I don’t miss you
YouTube music has me now 😹

Would you rather pay 1600 for Spotify premium, than pay 1800 for YouTube Premium(which gives you premium access to YouTube videos and YouTube music)? https://t.co/dBV0kvJhZ5

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Jamisi⚡ @jamisi_

6 months ago

@manlikeoriz @Odunthedatagirl I know what you are 😂

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Jamisi⚡ @jamisi_

6 months ago

@manlikeoriz @Odunthedatagirl I need datasets too 🌝

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Jamisi⚡ @jamisi_

6 months ago

Saw this video on Tiktok, I commented and they almost removed my head 😂

Splendor of SQL 🇬🇧🇩🇪💖

6 months ago

If you want to hire a serious data analyst and they bring out their laptop and it is a MacBook, just know they are the soft ones. Mostly waste of time. But if you see a windows laptop like Lenovo thinkpad, dell, and Alienware just give them the job.

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Jamisi⚡ @jamisi_

7 months ago

2025 has been great, 2026 will be better. Thank you Jesus for keeping things running smoothly!🙏

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Jamisi⚡ @jamisi_

7 months ago

@Frvnkie__ Take me to Church 😭

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Jamisi⚡ @jamisi_

7 months ago

@Prime_Analysis Hey bro, How has your new role been?

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Jamisi⚡ @jamisi_

7 months ago

@manlikeoriz I dey look up to you 😂 Great work you did there 👏

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