Forwarded from ركنية التلاوات
❄️ اللهمّ بلّغنا شهر رمضـان بلاغ قبولٍ وتوفيــق، وقربّنا فيه يا ربّنا إلى مرضاتك، وجنبنا فيه الفعل الذي يؤدي لنقماتك برحمتك يا أرحم الراحمين 🤍 🌸
🥰2❤1
Forwarded from GTB
❤🔥1🔥1
Forwarded from مسابقات واختبارات في القرآن الكريم
مبارك عليكم الشهر
أعاننا الله واياكم على صيامه وقيامه
أعاننا الله واياكم على صيامه وقيامه
❤3
Ramadan Tazkeer (1/30)
سبحان الله I never knew this
The Table Spread (5:4)
يَسْـَٔلُونَكَ مَاذَآ أُحِلَّ لَهُمْ ۖ قُلْ أُحِلَّ لَكُمُ ٱلطَّيِّبَـٰتُ ۙ وَمَا عَلَّمْتُم مِّنَ ٱلْجَوَارِحِ مُكَلِّبِينَ تُعَلِّمُونَهُنَّ مِمَّا عَلَّمَكُمُ ٱللَّهُ ۖ فَكُلُوا۟ مِمَّآ أَمْسَكْنَ عَلَيْكُمْ وَٱذْكُرُوا۟ ٱسْمَ ٱللَّهِ عَلَيْهِ ۖ وَٱتَّقُوا۟ ٱللَّهَ ۚ إِنَّ ٱللَّهَ سَرِيعُ ٱلْحِسَابِ ٤
They ask you, ˹O Prophet,˺ what is permissible for them ˹to eat˺. Say, “What is good and lawful. Also what is caught by your hunting animals and birds of prey which you have trained as instructed by Allah. So eat what they catch for you, but mention the Name of Allah over it ˹first˺.” And be mindful of Allah. Surely Allah is swift in reckoning.
— Dr. Mustafa Khattab, The Clear Quran
https://quran.com/5/4
سبحان الله I never knew this
The Table Spread (5:4)
يَسْـَٔلُونَكَ مَاذَآ أُحِلَّ لَهُمْ ۖ قُلْ أُحِلَّ لَكُمُ ٱلطَّيِّبَـٰتُ ۙ وَمَا عَلَّمْتُم مِّنَ ٱلْجَوَارِحِ مُكَلِّبِينَ تُعَلِّمُونَهُنَّ مِمَّا عَلَّمَكُمُ ٱللَّهُ ۖ فَكُلُوا۟ مِمَّآ أَمْسَكْنَ عَلَيْكُمْ وَٱذْكُرُوا۟ ٱسْمَ ٱللَّهِ عَلَيْهِ ۖ وَٱتَّقُوا۟ ٱللَّهَ ۚ إِنَّ ٱللَّهَ سَرِيعُ ٱلْحِسَابِ ٤
They ask you, ˹O Prophet,˺ what is permissible for them ˹to eat˺. Say, “What is good and lawful. Also what is caught by your hunting animals and birds of prey which you have trained as instructed by Allah. So eat what they catch for you, but mention the Name of Allah over it ˹first˺.” And be mindful of Allah. Surely Allah is swift in reckoning.
— Dr. Mustafa Khattab, The Clear Quran
https://quran.com/5/4
English
Ma'arif al-Qur'an
Ibn Kathir (Abridged)
Tazkirul Quran
Lawful and unlawful animals were mentioned in preceding verses. An answer to a question on the same subject appears in the present verse. Some Companions had asked the Holy Prophet ﷺ about the rule governing hunting with the help of a trained dog and falcon. Given in this verse is an answer to that question.
Commentary
To make an animal lawful when hunted through a dog or falcon, four conditions have been mentioned in the question and its answer appearing above. These are:
1. The dog or falcon should be taught, trained and disciplined. The functional principle given here is that the dog should have been groomed in a manner that it should, when released at the prey, catch it and bring it back to you - not that it starts eating it. As for a falcon, the rule set was that it should immediately return when called by you, even if it was chasing the prey. When so trained, it will prove that these beasts of prey hunt for you and not for themselves. Now the animal hunted by these beasts of prey will be considered your own. And if they act against this training once in a while, for example, the dog itself starts eating the prey, or the falcon does not return at your call, then, this game is not yours anymore, therefore, eating it is not permissible.
2. The second condition is that you should release the dog or falcon immediately at your choice and will, not that they dash after some game and hunt it on their own. In the verse under discussion, this condition has been made to come out clearly by the use of the word, "Mukallibin." Lexically, this word is a derivation from 'Taklib' which basically means the training of dogs. Later, it also came to be used in the sense of training beasts of prey and releasing them after the game. The author of the famous Tafsir Jalalayn explains it in the sense of 'Irsal' (send after) which means releasing after the game. This view has been reported in Tafsir al-Qurtubi as well.
3. The third condition is that the beasts of prey do not themselves start eating the game - instead, they should bring it to you. This condition has been explained through مِمَّا أَمْسَكْنَ عَلَيْكُمْ : (what they hold for you).
4. The fourth condition is: When you release the dog or the falcon after the game, do it after saying 'Bismillah' (With the name of Allah).
When these conditions stand fulfilled, the game - if dead before it reaches you - will still be lawful with no need to slaughter. If other-wise, it will not be lawful for you unless slaughtered.
With Imam Abu Hanifah (رح) ، there is a fifth condition as well: That this beast of prey should have also wounded the game. A hint towards this condition is embedded in the word, الْجَوَارِحِ "Al-Jawarih" (birds and beasts of prey) which also means animals which wound or injure.
Ruling: This injunction covers wild animals out of one's possession and control. In case a wild animal has been captured, it will not become lawful without having been properly slaughtered.
Ma'arif al-Qur'an
Ibn Kathir (Abridged)
Tazkirul Quran
Lawful and unlawful animals were mentioned in preceding verses. An answer to a question on the same subject appears in the present verse. Some Companions had asked the Holy Prophet ﷺ about the rule governing hunting with the help of a trained dog and falcon. Given in this verse is an answer to that question.
Commentary
To make an animal lawful when hunted through a dog or falcon, four conditions have been mentioned in the question and its answer appearing above. These are:
1. The dog or falcon should be taught, trained and disciplined. The functional principle given here is that the dog should have been groomed in a manner that it should, when released at the prey, catch it and bring it back to you - not that it starts eating it. As for a falcon, the rule set was that it should immediately return when called by you, even if it was chasing the prey. When so trained, it will prove that these beasts of prey hunt for you and not for themselves. Now the animal hunted by these beasts of prey will be considered your own. And if they act against this training once in a while, for example, the dog itself starts eating the prey, or the falcon does not return at your call, then, this game is not yours anymore, therefore, eating it is not permissible.
2. The second condition is that you should release the dog or falcon immediately at your choice and will, not that they dash after some game and hunt it on their own. In the verse under discussion, this condition has been made to come out clearly by the use of the word, "Mukallibin." Lexically, this word is a derivation from 'Taklib' which basically means the training of dogs. Later, it also came to be used in the sense of training beasts of prey and releasing them after the game. The author of the famous Tafsir Jalalayn explains it in the sense of 'Irsal' (send after) which means releasing after the game. This view has been reported in Tafsir al-Qurtubi as well.
3. The third condition is that the beasts of prey do not themselves start eating the game - instead, they should bring it to you. This condition has been explained through مِمَّا أَمْسَكْنَ عَلَيْكُمْ : (what they hold for you).
4. The fourth condition is: When you release the dog or the falcon after the game, do it after saying 'Bismillah' (With the name of Allah).
When these conditions stand fulfilled, the game - if dead before it reaches you - will still be lawful with no need to slaughter. If other-wise, it will not be lawful for you unless slaughtered.
With Imam Abu Hanifah (رح) ، there is a fifth condition as well: That this beast of prey should have also wounded the game. A hint towards this condition is embedded in the word, الْجَوَارِحِ "Al-Jawarih" (birds and beasts of prey) which also means animals which wound or injure.
Ruling: This injunction covers wild animals out of one's possession and control. In case a wild animal has been captured, it will not become lawful without having been properly slaughtered.
Forwarded from Zaya
Some developer resources i know that quietly save HOURS
• UI & Components : Magic UI - ready to use animated components for Next.js + Tailwind. Saves you from rebuilding modern interactions from scratch.
👉 https://magicui.design/
• Design Tools : Figma Community - thousands of free UI kits, icons and full design systems you can directly turn into real apps.
👉 https://www.figma.com/community
• Coolors - instantly generates balanced color palettes and exports them to CSS, SVG or design tools.
👉 https://coolors.co/
• Dev Productivity Tools : Responsively App - run your website on multiple device screens at the same time with synced interactions (it is amazing for responsive testing).
👉 https://responsively.app/
• JSON Crack : converts messy API JSON into visual graphs so you can understand backend data structures instantly.
👉 https://jsoncrack.com/
• Flutter Inspiration : Flutter Awesome - curated Flutter apps, UI ideas and packages to speed up development.
👉 https://flutterawesome.com/
#WorthSharing
#zaya_journal
• UI & Components : Magic UI - ready to use animated components for Next.js + Tailwind. Saves you from rebuilding modern interactions from scratch.
👉 https://magicui.design/
• Design Tools : Figma Community - thousands of free UI kits, icons and full design systems you can directly turn into real apps.
👉 https://www.figma.com/community
• Coolors - instantly generates balanced color palettes and exports them to CSS, SVG or design tools.
👉 https://coolors.co/
• Dev Productivity Tools : Responsively App - run your website on multiple device screens at the same time with synced interactions (it is amazing for responsive testing).
👉 https://responsively.app/
• JSON Crack : converts messy API JSON into visual graphs so you can understand backend data structures instantly.
👉 https://jsoncrack.com/
• Flutter Inspiration : Flutter Awesome - curated Flutter apps, UI ideas and packages to speed up development.
👉 https://flutterawesome.com/
#WorthSharing
#zaya_journal
Forwarded from Software Guy
Three months ago I noticed something.
Ethiopian AI startups were shipping real products. Real APIs. Real intelligence.
But Flutter devs? We were stuck reading raw docs, wiring endpoints, fixing edge cases alone.
So I built a Flutter SDK for Hasab AI.
Didn’t expect much.
People loved it.
That moment told me something important
This ecosystem doesn’t lack talent.
It lacks bridges.
So I kept going.
Today, I’m releasing Addis AI Flutter SDK.
Same mission. Cleaner execution. Better DX.
Flutter devs shouldn’t struggle to use local AI.
It should feel native. Simple. Obvious.
Check out
https://pub.dev/packages/addis_ai_sdk
Ethiopian AI startups were shipping real products. Real APIs. Real intelligence.
But Flutter devs? We were stuck reading raw docs, wiring endpoints, fixing edge cases alone.
So I built a Flutter SDK for Hasab AI.
Didn’t expect much.
People loved it.
That moment told me something important
This ecosystem doesn’t lack talent.
It lacks bridges.
So I kept going.
Today, I’m releasing Addis AI Flutter SDK.
Same mission. Cleaner execution. Better DX.
Flutter devs shouldn’t struggle to use local AI.
It should feel native. Simple. Obvious.
Check out
https://pub.dev/packages/addis_ai_sdk
❤1
Forwarded from Tesfa Medical Care Team (Post Coordinator)
✨ 12th Biweekly Medical Service Day ✨
A heartfelt thank you to all the dedicated volunteers who joined yesterday's ENT Screening Day. Your compassion, time and teamwork made the day truly impactful for our elders.
Activities done included:
⭐️ ENT assessment
⭐️ Screening common ENT problems
⭐️ Referral for those needing further treatment
⭐️ Counseling on hygiene and preventive care
⭐️ Routine HTN (blood pressure) screening
⭐️ Routine DM (blood glucose) screening
In total, we were able to assess more than 120 elders, ensuring they received proper care and guidance.
We are grateful for each one of you.
👇👇👇👇👇👇👇👇
🎉 We also warmly invite all volunteers to join us for our 4th Anniversary Celebration on March 07, which will be held alongside a special Kidney Assessment Day.
👆👆👆👆👆👆👆👆👆
Let’s continue making an even greater impact together, one elder at a time.
#TesfaMedicalCareTeam
#RACFanos
#RACAdey
#ENTScreening
#ElderCare
#CompassionInAction
#OneElderAtATime
A heartfelt thank you to all the dedicated volunteers who joined yesterday's ENT Screening Day. Your compassion, time and teamwork made the day truly impactful for our elders.
Activities done included:
⭐️ ENT assessment
⭐️ Screening common ENT problems
⭐️ Referral for those needing further treatment
⭐️ Counseling on hygiene and preventive care
⭐️ Routine HTN (blood pressure) screening
⭐️ Routine DM (blood glucose) screening
In total, we were able to assess more than 120 elders, ensuring they received proper care and guidance.
We are grateful for each one of you.
👇👇👇👇👇👇👇👇
🎉 We also warmly invite all volunteers to join us for our 4th Anniversary Celebration on March 07, which will be held alongside a special Kidney Assessment Day.
👆👆👆👆👆👆👆👆👆
Let’s continue making an even greater impact together, one elder at a time.
#TesfaMedicalCareTeam
#RACFanos
#RACAdey
#ENTScreening
#ElderCare
#CompassionInAction
#OneElderAtATime
❤2🥰1
Today iftar is on the road 😂, been waiting for taxi for almost 2 hours now
Forwarded from Onyx Design ⚡️
Micro-Interactions in the AI Age
Most people don’t notice micro-interactions. That’s the point.
A micro-interaction is the tiny moment where a system responds to you: a button animates when you click it, a loading state reassures you something is happening, an error message tells you what went wrong without blaming you.
They’re small enough to ignore, but missing enough of them makes a product feel broken in a way that’s hard to describe.
You don’t consciously think “this app lacks micro-interactions.” You think “this feels off.”
What’s interesting is that micro-interactions matter more now than they did before, even though software is getting smarter. Especially because it’s getting smarter.
In the pre-AI era, most software behaved like a machine. You clicked a thing, it did a thing, or it didn’t. The user adjusted their expectations accordingly. The bar was clarity and speed.
AI changes that bar. The moment software starts generating text, making decisions, or “thinking,” users subconsciously treat it less like a tool and more like an agent.
And agents are judged differently.
When something feels agent-like, we expect intent. We expect feedback.
We expect reassurance.
This is where micro-interactions stop being polish and start being trust infrastructure.
Take a simple example: an AI assistant that takes a few seconds to respond.If nothing happens during those seconds, users get uneasy. Is it broken? Did it understand me? Did I phrase that wrong? But add a subtle “thinking” state, a progress cue, or even a line acknowledging the request, and the anxiety drops. Nothing about the model changed. The experience did.
A subtle thinking state
What’s happening here is not performance optimization. It’s emotional regulation.
Humans constantly look for signals. In conversations, those signals are nods, “uh-huhs,” pauses, tone. In software, micro-interactions are those signals. They tell users: I heard you. I’m working on it. This is normal.
AI systems are especially good at triggering uncertainty because their internal processes are opaque.
You don’t know why they succeed or fail. You don’t know what they’re confident about. Without micro-interactions, that uncertainty leaks directly into the user’s experience.
Another reason micro-interactions matter more now is that AI compresses differentiation.
When everyone has access to roughly the same models, intelligence becomes a commodity.
Two products can generate equally good answers. What users remember instead is how it felt to get them.
Did the system guide me when I was vague? Did it recover gracefully from errors? Did it make me feel dumb when I messed up?
Those are not model questions.
They’re interaction questions.
Good micro-interactions also shape behavior. If an AI product gently nudges you toward better prompts, clearer inputs, or safer usage, users learn without being lectured.
The best ones don’t say “you did this wrong.” They quietly show you what works.
There’s a deeper effect too.
Micro-interactions teach users what kind of intelligence they’re dealing with.
A sharp, instant response feels confident. A brief pause feels thoughtful. A clarifying question feels careful.
None of these are strictly true in a technical sense, but users infer them anyway. We can’t help it. We anthropomorphize anything that talks back.
This creates a risk. Bad micro-interactions can over-promise intelligence the system doesn’t actually have.
A polished response to a wrong answer feels more deceptive than a clumsy one. In the AI age, honesty isn’t just about correctness — it’s about calibration.
Micro-interactions are how you calibrate expectations.
Dieter Rams once wrote that good design is about removing the parts users have to think about. Micro-interactions do something slightly different: they remove the parts users worry about.
As AI handles more complex tasks, users give up some control. They delegate. Delegation requires trust. Trust requires feedback. Feedback lives in the small moments.
@OnyxDesignx
Most people don’t notice micro-interactions. That’s the point.
A micro-interaction is the tiny moment where a system responds to you: a button animates when you click it, a loading state reassures you something is happening, an error message tells you what went wrong without blaming you.
They’re small enough to ignore, but missing enough of them makes a product feel broken in a way that’s hard to describe.
You don’t consciously think “this app lacks micro-interactions.” You think “this feels off.”
What’s interesting is that micro-interactions matter more now than they did before, even though software is getting smarter. Especially because it’s getting smarter.
In the pre-AI era, most software behaved like a machine. You clicked a thing, it did a thing, or it didn’t. The user adjusted their expectations accordingly. The bar was clarity and speed.
AI changes that bar. The moment software starts generating text, making decisions, or “thinking,” users subconsciously treat it less like a tool and more like an agent.
And agents are judged differently.
When something feels agent-like, we expect intent. We expect feedback.
We expect reassurance.
This is where micro-interactions stop being polish and start being trust infrastructure.
Take a simple example: an AI assistant that takes a few seconds to respond.If nothing happens during those seconds, users get uneasy. Is it broken? Did it understand me? Did I phrase that wrong? But add a subtle “thinking” state, a progress cue, or even a line acknowledging the request, and the anxiety drops. Nothing about the model changed. The experience did.
A subtle thinking state
What’s happening here is not performance optimization. It’s emotional regulation.
Humans constantly look for signals. In conversations, those signals are nods, “uh-huhs,” pauses, tone. In software, micro-interactions are those signals. They tell users: I heard you. I’m working on it. This is normal.
AI systems are especially good at triggering uncertainty because their internal processes are opaque.
You don’t know why they succeed or fail. You don’t know what they’re confident about. Without micro-interactions, that uncertainty leaks directly into the user’s experience.
Another reason micro-interactions matter more now is that AI compresses differentiation.
When everyone has access to roughly the same models, intelligence becomes a commodity.
Two products can generate equally good answers. What users remember instead is how it felt to get them.
Did the system guide me when I was vague? Did it recover gracefully from errors? Did it make me feel dumb when I messed up?
Those are not model questions.
They’re interaction questions.
Good micro-interactions also shape behavior. If an AI product gently nudges you toward better prompts, clearer inputs, or safer usage, users learn without being lectured.
The best ones don’t say “you did this wrong.” They quietly show you what works.
There’s a deeper effect too.
Micro-interactions teach users what kind of intelligence they’re dealing with.
A sharp, instant response feels confident. A brief pause feels thoughtful. A clarifying question feels careful.
None of these are strictly true in a technical sense, but users infer them anyway. We can’t help it. We anthropomorphize anything that talks back.
This creates a risk. Bad micro-interactions can over-promise intelligence the system doesn’t actually have.
A polished response to a wrong answer feels more deceptive than a clumsy one. In the AI age, honesty isn’t just about correctness — it’s about calibration.
Micro-interactions are how you calibrate expectations.
Dieter Rams once wrote that good design is about removing the parts users have to think about. Micro-interactions do something slightly different: they remove the parts users worry about.
As AI handles more complex tasks, users give up some control. They delegate. Delegation requires trust. Trust requires feedback. Feedback lives in the small moments.
@OnyxDesignx
❤1
Ramadan Tazkeer (2/30)
The Poets (26:87)
وَلَا تُخْزِنِى يَوْمَ يُبْعَثُونَ ٨٧
And do not disgrace me on the Day all will be resurrected—
— Dr. Mustafa Khattab, The Clear Quran
https://quran.com/26/87
The Poets (26:87)
وَلَا تُخْزِنِى يَوْمَ يُبْعَثُونَ ٨٧
And do not disgrace me on the Day all will be resurrected—
— Dr. Mustafa Khattab, The Clear Quran
https://quran.com/26/87
Quran.com
Surah Ash-Shu'ara Ayah 87 - Read, Listen, Translation, Tafsir - Quran.com
Surah Ash-Shu'ara Ayah 87 - ولا تخزني يوم يبعثون
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