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Benjamin Hernandez😎
$HD CONSUMER STRENGTH INDICATOR.
Price $381.77. Algorithmic footprints show quiet accumulation near the daily support base. The 2.40% yield offers solid downside protection.
Hold your shares as the setup matures.
Follow me or DM for exact levels.
$SOC $BMNR $BYND $NB $PULM https://t.co/5VQtPrG8in
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$HD CONSUMER STRENGTH INDICATOR.
Price $381.77. Algorithmic footprints show quiet accumulation near the daily support base. The 2.40% yield offers solid downside protection.
Hold your shares as the setup matures.
Follow me or DM for exact levels.
$SOC $BMNR $BYND $NB $PULM https://t.co/5VQtPrG8in
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Offshore
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Fiscal.ai
RT @BradoCapital: Levelling up the @fiscal_ai visual identity across our research content.
More coming soon. https://t.co/d1Cy17jvl4
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RT @BradoCapital: Levelling up the @fiscal_ai visual identity across our research content.
More coming soon. https://t.co/d1Cy17jvl4
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Offshore
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God of Prompt
RT @godofprompt: Perplexity is terrifyingly good at competitive intelligence.
If you use these 10 prompts, you’ll see why:
(Bookmark this thread for later) https://t.co/iEiiYxTKyp
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RT @godofprompt: Perplexity is terrifyingly good at competitive intelligence.
If you use these 10 prompts, you’ll see why:
(Bookmark this thread for later) https://t.co/iEiiYxTKyp
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Offshore
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DAIR.AI
As agents become production workloads, the inference infrastructure needs to be agent-aware, not just model-aware.
Current systems manage LLM inference engines and tool orchestrators separately, causing suboptimal resource allocation and memory waste.
ThunderAgent treats agentic workflows as LLM Programs, creating unified resource visibility spanning KV caches, system states, and external tool assets.
It features a program-aware scheduler and a tool resource manager that optimize cache performance and reduce memory waste.
Demonstrates a 1.5-3.6x throughput improvement in serving, 1.8-3.9x in RL rollout, and up to 4.2x disk memory savings.
Paper: https://t.co/mb9VU8VEU9
Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c
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As agents become production workloads, the inference infrastructure needs to be agent-aware, not just model-aware.
Current systems manage LLM inference engines and tool orchestrators separately, causing suboptimal resource allocation and memory waste.
ThunderAgent treats agentic workflows as LLM Programs, creating unified resource visibility spanning KV caches, system states, and external tool assets.
It features a program-aware scheduler and a tool resource manager that optimize cache performance and reduce memory waste.
Demonstrates a 1.5-3.6x throughput improvement in serving, 1.8-3.9x in RL rollout, and up to 4.2x disk memory savings.
Paper: https://t.co/mb9VU8VEU9
Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c
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Offshore
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Brady Long
If we keep this up you’re gonna see this next time you come home. https://t.co/7tOBl20c2w
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If we keep this up you’re gonna see this next time you come home. https://t.co/7tOBl20c2w
RIP typing.
I just watched my Mac finish a 4-hour workday in 90 seconds.
This is absurd. https://t.co/zYVc8O4HId tweet
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Clark Square Capital
the first 3 words will definite your 2026 (investor edition) https://t.co/gEXmHWwfmD
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the first 3 words will definite your 2026 (investor edition) https://t.co/gEXmHWwfmD
the first 3 words you see will define your 2026 😭 https://t.co/Z1ceiuUUn8 tweet
Offshore
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Moon Dev
ive got 5 openclaws that are all working on unicorn ideas now
that come directly from my actual workflow https://t.co/LmDrNaS7jR
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ive got 5 openclaws that are all working on unicorn ideas now
that come directly from my actual workflow https://t.co/LmDrNaS7jR
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Dimitry Nakhla | Babylon Capital®
15 Quality Stocks With Estimated 2026–2028 EPS CAGR >15% 💵*
1. $GOOG 16%
2. $MA 16%
3. $META 16%
4. $MSFT 16%
5. $TDG 17%
6. $FTAI 19%
7. $NVDA 20%
8. $NOW 21%
9. $ASML 22%
10. $AMZN 23%
11. $LRCX 23%
12. $TSM 23%
13. $APP 28%
14. $PLTR 38%
15. $GEV 51%
___
*12/2026 - 12/2028
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15 Quality Stocks With Estimated 2026–2028 EPS CAGR >15% 💵*
1. $GOOG 16%
2. $MA 16%
3. $META 16%
4. $MSFT 16%
5. $TDG 17%
6. $FTAI 19%
7. $NVDA 20%
8. $NOW 21%
9. $ASML 22%
10. $AMZN 23%
11. $LRCX 23%
12. $TSM 23%
13. $APP 28%
14. $PLTR 38%
15. $GEV 51%
___
*12/2026 - 12/2028
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Offshore
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The Few Bets That Matter
$TMDX flights continue to look extremely strong.
The only "breasih" outcome from this trend is that the increase comes from double-shifting planes replacing third-party flights.
The $TMDX bull case is OCS volume. Replacing one flight with another doesn’t increase OCS usage. It proves demand for the end-to-end service, but it doesn’t automatically increase volume.
Management said they'll always need third-party planes if only for long-distance flights. Reducing them from 20% to 5% would be positive, revenue and fundamental wise, but not a game changer.
Now, if $TMDX is truly running ~28 flights per day in Q1-26 while still keeping ~20% third-party flights…
The Street will be chocked.
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$TMDX flights continue to look extremely strong.
The only "breasih" outcome from this trend is that the increase comes from double-shifting planes replacing third-party flights.
The $TMDX bull case is OCS volume. Replacing one flight with another doesn’t increase OCS usage. It proves demand for the end-to-end service, but it doesn’t automatically increase volume.
Management said they'll always need third-party planes if only for long-distance flights. Reducing them from 20% to 5% would be positive, revenue and fundamental wise, but not a game changer.
Now, if $TMDX is truly running ~28 flights per day in Q1-26 while still keeping ~20% third-party flights…
The Street will be chocked.
tweet