Banshee

High conviction plays-Finding gems💎-Project advisory-Full time crypto🪙

[Banshee @DefiBanshee]

Pretty sick app

[Togglr @togglrapp]

Don’t miss that next big coin just set your key word and never miss another #pump it’s that simple. $pepe

[Togglr @togglrapp]

Don’t miss that next big coin just set your key word and never miss another #pump it’s that simple. $pepe

[Togglr @togglrapp]

Never miss out on a new #crypto launch again. Setting a keyword like “launch” or “new coin” can keep you from missing your next 100x. Stay ahead of everyone else use https://t.co/VH8ldH6vCk

[Togglr @togglrapp]

Tired of missing out on gains? Never miss a new #crypto coin launch on #telegram again with togglr.

[Destra Network @DestraNetwork]

1,250,000 $DSYNC Rewards Are Now Live

Phase 1 of the Destra Airdrop has officially been completed.

Over the past phase, distribution was driven by real participation — factoring in staking activity, duration, ecosystem engagement.

Now, a total of 1,250,000 $DSYNC in rewards is live and ready to be claimed.

How to redeem:

Visit the Destra Network airdrop portal:
https://t.co/j9tMjN6Ngs

• On the top-right corner of the homepage, click “Redeem Dsync”
• If you are eligible, your $DSYNC will be processed upon redemption
• Tokens will be transferred to your account shortly after
This marks the completion of Phase 1.

Phase 2 begins now.
The next phase will go deeper — with a stronger focus on on-chain activity, real usage, and deeper integration across the Destra ecosystem.
More details coming shortly.

[Togglr @togglrapp]

EXCITING NEWS!! We have officially launched on the iOS App Store!

Take control of your #telegram notifications now!

https://t.co/xXCidbOti4

[Togglr @togglrapp]

Togglr lets you cut all the spam messages in your telegram chats so you only get notified from what you want.

[Togglr @togglrapp]

Togglr helps you never miss important messages on telegram. Just set a specific keyword or user and whenever that keyword is used in a message you will get a notification for it. Try it now for free at https://t.co/VH8ldH6vCk

[Togglr @togglrapp]

Did you know while waiting for our iOS app version to drop you can still use togglr as an app on your mobile device? Just go to the website on your phone and click add to Home Screen. Now you have an app version of the website! Visit https://t.co/VH8ldH6vCk

[Togglr @togglrapp]

Exciting announcement! We will be launching on the iOS App Store and google play store very soon.
In the meantime sign up on our website and try all our features for FREE at https://t.co/VH8ldH6vCk

[Togglr @togglrapp]

Toggle any notification you want on telegram. Never miss important messages and cut the spam.
Create an account and control your notifications now .
https://t.co/tR7lyOrprX

[Banshee @DefiBanshee]

They never stop working. $DSYNC will be around for a very very long time.

[Destra Network @DestraNetwork]

$DSYNC Destra Edge: Execution Pipeline and Edge Coordination Layer Progress

Destra Edge isn’t an upgrade to distributed computing it’s a rewrite of it.

For the first time in history, compute is no longer confined to data centers, GPUs farms, or privileged infrastructure. Destra Edge turns every phone into a living node of a global intelligence layer, seamlessly contributing compute, inference, and execution in real time.

What was once centralized, scarce, and gatekept becomes ubiquitous, fluid, and unstoppable. This isn’t about scaling servers — it’s about scaling humanity itself. Millions of devices, operating at the edge, forming a self-organizing, always-on compute fabric that grows stronger with every new participant.

We’ve been advancing the core execution and coordination layers that allow Destra Edge to function as a distributed inference execution environment across mobile GPUs.

This phase of development is focused on stabilizing the internal execution pipeline — ensuring inference workloads can be safely assigned, executed on-device, verified, and reintegrated into the network without relying on centralized infrastructure.

At the runtime level, we’ve been refining the on-device execution environment to support deterministic micro-inference workloads under strict resource constraints. This includes improvements to task isolation, GPU scheduling, and memory handling, allowing inference workloads to execute safely across heterogeneous smartphone hardware while maintaining predictable execution behavior.

On the network side, the inference routing layer is being extended to support capability-aware task assignment. Incoming inference requests are decomposed into lightweight execution units and dynamically routed based on device capability, availability, and observed execution reliability. This allows the network to coordinate thousands of independent edge devices while maintaining consistent inference completion guarantees.

Current work is focused on strengthening the following core systems:
- On-device runtime stability and GPU workload execution consistency
- Capability profiling and reliability-aware task scheduling
- Execution integrity verification and redundant validation logic
- Deterministic aggregation of distributed inference outputs
- Structured execution attestation and contribution measurement

These components establish the foundation required for inference to execute across distributed, untrusted edge devices while preserving correctness, reliability, and measurable compute contribution.

Destra Edge is evolving from a standalone mobile runtime into a coordinated execution layer — where inference workloads are distributed, executed, and verified across globally distributed smartphones, forming a decentralized inference network owned and powered by its participants.

[Destra Network @DestraNetwork]

$DSYNC Destra Edge: Execution Pipeline and Edge Coordination Layer Progress

Destra Edge isn’t an upgrade to distributed computing it’s a rewrite of it.

For the first time in history, compute is no longer confined to data centers, GPUs farms, or privileged infrastructure. Destra Edge turns every phone into a living node of a global intelligence layer, seamlessly contributing compute, inference, and execution in real time.

What was once centralized, scarce, and gatekept becomes ubiquitous, fluid, and unstoppable. This isn’t about scaling servers — it’s about scaling humanity itself. Millions of devices, operating at the edge, forming a self-organizing, always-on compute fabric that grows stronger with every new participant.

We’ve been advancing the core execution and coordination layers that allow Destra Edge to function as a distributed inference execution environment across mobile GPUs.

This phase of development is focused on stabilizing the internal execution pipeline — ensuring inference workloads can be safely assigned, executed on-device, verified, and reintegrated into the network without relying on centralized infrastructure.

At the runtime level, we’ve been refining the on-device execution environment to support deterministic micro-inference workloads under strict resource constraints. This includes improvements to task isolation, GPU scheduling, and memory handling, allowing inference workloads to execute safely across heterogeneous smartphone hardware while maintaining predictable execution behavior.

On the network side, the inference routing layer is being extended to support capability-aware task assignment. Incoming inference requests are decomposed into lightweight execution units and dynamically routed based on device capability, availability, and observed execution reliability. This allows the network to coordinate thousands of independent edge devices while maintaining consistent inference completion guarantees.

Current work is focused on strengthening the following core systems:
- On-device runtime stability and GPU workload execution consistency
- Capability profiling and reliability-aware task scheduling
- Execution integrity verification and redundant validation logic
- Deterministic aggregation of distributed inference outputs
- Structured execution attestation and contribution measurement

These components establish the foundation required for inference to execute across distributed, untrusted edge devices while preserving correctness, reliability, and measurable compute contribution.

Destra Edge is evolving from a standalone mobile runtime into a coordinated execution layer — where inference workloads are distributed, executed, and verified across globally distributed smartphones, forming a decentralized inference network owned and powered by its participants.

[Togglr @togglrapp]

Its 3am and your crypto group chat is going off ping ping ping “wen moon” 47 times.
While Togglr users are peacefully sleeping because they only get alerted for actual alpha.
https://t.co/Xxin3K9epr

[Togglr @togglrapp]

Togglr fact: Most people mute entire channels because notifications are overwhelming.
Don’t risk missing important messages keep what actually matters.
Keyword + user filters = peaceful notifications. Try it free 👇
https://t.co/Xxin3K9epr

[Togglr @togglrapp]

Tired of notification spam on Telegram & Matrix?

Introducing Togglr, set notifications so you ONLY get alerted for keywords or specific users you care about.

Peaceful inbox + never miss the important stuff.

Just launched! Check it out now!

[Destra Network @DestraNetwork]

Destra Edge — $DSYNC Early Development Demo

This video shows an early demo of the Destra Edge mobile app currently under active development.

This build shows:
• wallet-based authentication
• secure device registration
• on-device GPU inference tasks
• optional output verification for network quality
• real-time contribution metrics

This is a work-in-progress build.
More refinements and features are in progress.

[Banshee @DefiBanshee]

This is a genius idea from $DSYNC. This could bring millions of users. Easy way to leverage your own gpu power.

[Destra Network @DestraNetwork]

Destra Edge — $DSYNC From Idea to Reality

Yesterday, we introduced Destra Edge.
Today, we show you what it means.

For too long, AI has lived in data centers.
Expensive. Centralized. Controlled by a few.

Meanwhile, billions of smartphones sit idle.
Powerful GPUs. Doing nothing.

That doesn’t make sense.

So we’re building something different.

Destra Edge turns everyday smartphones into a global AI inference network.
No servers.
No cloud monopolies.
Just real compute at the edge.

This video shows the system taking shape —
how inference is distributed,
how it runs on-device,
and how results come together without central control.

This is not finished.
And that’s the point.

You’re watching it being built.
Layer by layer.
In public.

The magic is in the scale.

More phones means more power.
More power means stronger AI.
The network grows simply because people join.

No passive mining.
No fake activity.
Only real GPU inference. Measured. Verified. Rewarded.

AI shouldn’t live in warehouses.
It should live in your pocket.

This is edge-level decentralization.
This is permissionless inference.
This is Destra Network.

[Destra Network @DestraNetwork]

Destra Edge — $DSYNC From Idea to Reality

Yesterday, we introduced Destra Edge.
Today, we show you what it means.

For too long, AI has lived in data centers.
Expensive. Centralized. Controlled by a few.

Meanwhile, billions of smartphones sit idle.
Powerful GPUs. Doing nothing.

That doesn’t make sense.

So we’re building something different.

Destra Edge turns everyday smartphones into a global AI inference network.
No servers.
No cloud monopolies.
Just real compute at the edge.

This video shows the system taking shape —
how inference is distributed,
how it runs on-device,
and how results come together without central control.

This is not finished.
And that’s the point.

You’re watching it being built.
Layer by layer.
In public.

The magic is in the scale.

More phones means more power.
More power means stronger AI.
The network grows simply because people join.

No passive mining.
No fake activity.
Only real GPU inference. Measured. Verified. Rewarded.

AI shouldn’t live in warehouses.
It should live in your pocket.

This is edge-level decentralization.
This is permissionless inference.
This is Destra Network.

[Destra Network @DestraNetwork]

𝐃𝐞𝐬𝐭𝐫𝐚 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 | $DSYNC

𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐃𝐞𝐬𝐭𝐫𝐚 𝐄𝐝𝐠𝐞 "𝐅𝐢𝐫𝐬𝐭 𝐋𝐨𝐨𝐤 𝐚𝐭 𝐭𝐡𝐞 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐈 𝐍𝐨𝐝𝐞 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞"

Today, we’re sharing an early look at 𝐃𝐞𝐬𝐭𝐫𝐚 𝐄𝐝𝐠𝐞.

A mobile experience designed to turn everyday smartphones into active contributors to decentralized AI 𝐭𝐚𝐤𝐢𝐧𝐠 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐨 𝐧𝐞𝐱𝐭 𝐥𝐞𝐯𝐞𝐥.

A first glimpse into how a truly decentralized AI network can live directly on consumer devices.

Every modern phone already carries a powerful GPU that sits idle most of the day. Destra Edge unlocks that unused compute and connects it directly to 𝐃𝐞𝐬𝐭𝐫𝐚 𝐍𝐞𝐭𝐰𝐨𝐫𝐤’𝐬 decentralized inference layer — transforming everyday devices into real contributors to AI workloads.

This isn’t passive mining or background noise.
You decide when to participate. You open the app, your phone runs lightweight, secure inference tasks locally, and you’re rewarded based on the actual compute you provide. Everything is transparent, measurable, and fully under your control. The UI is designed to make participation effortless — no complexity, no friction.

𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐃𝐞𝐬𝐭𝐫𝐚 𝐄𝐝𝐠𝐞 𝐞𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐥𝐲 𝐜𝐨𝐦𝐩𝐞𝐥𝐥𝐢𝐧𝐠 𝐢𝐬 𝐢𝐭𝐬 𝐬𝐜𝐚𝐥𝐞.

As AI adoption accelerates, inference becomes increasingly valuable — and it doesn’t need to live exclusively inside centralized data centers. Just as connectivity expanded beyond fixed infrastructure into satellites, mobile towers, and edge devices, AI is now following the same path.

Destra Edge is building that next layer:
a 𝐠𝐥𝐨𝐛𝐚𝐥, 𝐮𝐬𝐞𝐫-𝐨𝐰𝐧𝐞𝐝 𝐞𝐝𝐠𝐞 𝐀𝐈 𝐧𝐞𝐭𝐰𝐨𝐫𝐤, distributed across millions of phones worldwide.

Each new device strengthens the network.
Each participant expands its capacity.
Each contribution pushes AI further out of centralized control and into the hands of users.

These mockups are an early glimpse into what decentralized AI looks like when it’s practical, accessible, and designed for real-world adoption.