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$AKT Catalyst Posts

June 27, 2026

Single-day social intelligence recap and verified catalyst posts · ← Back to $AKT Profile · Market Rankings

💬 Curated Viral Posts & Community Evidence

7 source posts analyzed
Shaw (spirit/acc) @shawmakesmagic · 2026-06-27T19:36:42+00:00

Bare metal hosting a 27B param model on a 3090 on Akash is like $60/mo And it can support one user at a time, using one instance at a time The economics of consumer AI are fucked

❤️ 130 likes · 🔁 6 retweets · 💬 18 comments 👁️ 21.6K views
Đecentralized Člub © @dens_club · 2026-06-27T03:31:06+00:00

filtering out the timeline noise and mapping realistic altseason multipliers from the macro cycle bottom. 5x - 10x $sol $eth $bnb $doge $link $ton 10x - 20x $hype $wif $peq $bonk $sui $hnt 20x - 50x $tao $prime $akt $icp $jup $met 50x - 100x plus hidden utility contracts in

❤️ 49 likes · 🔁 10 retweets · 💬 17 comments 👁️ 4.8K views
CRYPTO THRO @CryptoThro · 2026-06-27T06:39:23+00:00

Which of this #Crypto Coin are You HOLDING To become a BILLIONAIRE: 1. #Drover 2. $Ckom 3. $Wif 4. #Hydrachain 5. $SUI 6. $BTC 7. $LINK 8. $SFUND 9. $AAVE 10. $Mee 11. $RENDER 12. $SUPER 13. $RUNE 14. $GALA 15. $AKT 16. $TAO 17. $KAS 18. $sol 19. $CGPT 20. $NEAR Which one did

❤️ 0 likes · 🔁 0 retweets · 💬 0 comments 👁️ 975 views
Akashians @akashians_ · 2026-06-27T18:34:00+00:00

This is bigger than it looks. @OpenRouter 's new MCP doesn't rely on outdated model knowledge. It checks live provider intelligence and picks providers based on real performance. For GLM 5.2: Friendli @akashnetAI Being recognized as a top-performing provider inside the

A terminal interface shows a Claude Code session querying OpenRouter MCP, revealing that **Friendli** is the fastest provider for GLM-5.2 with **152 tok/s throughput**, **273 ms latency**, and **99.9% uptime**, outperforming runners-up **AkashML** and **Together**. The image directly illustrates the post's point about OpenRouter's new MCP using live provider performance data to identify top providers like Friendli and AkashML for GLM 5.2 routing.

AI visual analysis: A terminal interface shows a Claude Code session querying OpenRouter MCP, revealing that **Friendli** is the fastest provider for GLM-5.2 with **152 tok/s throughput**, **273 ms latency**, and **99.9% uptime**, outperforming runners-up **AkashML** and **Together**. The image directly illustrates the post's point about OpenRouter's new MCP using live provider performance data to identify top providers like Friendli and AkashML for GLM 5.2 routing.

❤️ 21 likes · 🔁 6 retweets · 💬 2 comments 👁️ 631 views
BecauseYoureBored (Restructuring) @BecauseYrBored · 2026-06-27T14:15:21+00:00

Well, @akashnet is mogging commodity inference market share. #1 provider on OpenRouter for Qwen3.5 and Llama 3.3 70B (ahead of DeepInfra, Groq, Alibaba). Decentralized compute demand is real, running in production. The commodity tier pumps token volume, but those tokens don't

A data table comparing AI model providers across metrics like token share, latency, and uptime, highlighting AkashML as the field leader for Qwen3.5 35B-A3B (58.9% token share, #1 rank) and Llama 3.3 70B (32.5% token share, #1 rank), supporting the post's claim that Akash is leading the commodity inference market share on OpenRouter.

AI visual analysis: A data table comparing AI model providers across metrics like token share, latency, and uptime, highlighting AkashML as the field leader for Qwen3.5 35B-A3B (58.9% token share, #1 rank) and Llama 3.3 70B (32.5% token share, #1 rank), supporting the post's claim that Akash is leading the commodity inference market share on OpenRouter.

❤️ 10 likes · 🔁 2 retweets · 💬 0 comments 👁️ 228 views
Lamborgenie @llphilb · 2026-06-27T11:34:16+00:00

We breaking 9 billy today $akt fam?

The image shows an OpenRouter usage analytics dashboard for AkashML, displaying a stacked bar chart of token consumption by model through June 27, 2026, with Qwen3.5-35B-A3B leading at 1.41B tokens, followed by Qwen3.6 35B A3B (1.25B), DeepSeek V4 Flash (1.05B), Llama 3.3 70B Instruct (265M), GLM 5.2 (131M), and MiniMax M2.5 (11M), totaling 4.12B tokens with a daily pace of 8.99B (+4.87B). This supports the post's claim of "breaking 9 billion" tokens in daily usage, reflecting strong growth and demand for $AKT-powered AI inference on the Akash network.

AI visual analysis: The image shows an OpenRouter usage analytics dashboard for AkashML, displaying a stacked bar chart of token consumption by model through June 27, 2026, with Qwen3.5-35B-A3B leading at 1.41B tokens, followed by Qwen3.6 35B A3B (1.25B), DeepSeek V4 Flash (1.05B), Llama 3.3 70B Instruct (265M), GLM 5.2 (131M), and MiniMax M2.5 (11M), totaling 4.12B tokens with a daily pace of 8.99B (+4.87B). This supports the post's claim of "breaking 9 billion" tokens in daily usage, reflecting strong growth and demand for $AKT-powered AI inference on the Akash network.

❤️ 14 likes · 🔁 2 retweets · 💬 1 comments 👁️ 223 views
Greg Osuri @gregosuri · 2026-06-27T13:59:21+00:00

Looks like 9 billion tokens today

❤️ 5 likes · 🔁 1 retweets · 💬 1 comments 👁️ 81 views