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traleos

@traleos_AI

Followers
9K
Following
14
Media
10
Statuses
119

Traleos is an AI intent router: it uses natural language to complete cross-chain swaps, bridges, transfers, and staking TG๏ผš@traleos_bot

Joined April 2013
Don't wanna be here? Send us removal request.
@traleos_AI
traleos
5 days
"Looking cheap" doesn't necessarily mean it's actually cheap. We factor in confirmation time costs and potential failure retry costs into our estimates to avoid the illusion that "cheap things can turn into more expensive ones."
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@traleos_AI
traleos
11 days
Multi-objective routing solution and rollback Objective functions: fee rate, slippage, latency, risk score; Constraints: minimum depth, maximum slippage, fee cap, health threshold; Method: Graph search + heuristics, combined with incremental caching and real-time weighting;
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@traleos_AI
traleos
16 days
๐Ÿ“Œ Reminder: All demos are for functional demonstration purposes only and do not constitute a revenue guarantee; please refer to the behavior in the internal testing environment.
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@traleos_AI
traleos
18 days
When simplicity meets security, simplicity truly matters. We're willing to sacrifice a bit of apparent speed in exchange for explainable reliability.
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@traleos_AI
traleos
20 days
"Transparency" means verifiability: you can see risk points before confirmation, status during execution, and reconciliation after completion. This closed loop is the root of the product's credibility.
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@traleos_AI
traleos
21 days
Make sure you donโ€™t miss out on our first airdrop registration. Enter our TG robot: @traleos_bot to register and experience our demo function. The first airdrop task will end soon.
@traleos_AI
traleos
1 month
We have some new updates for the TG bot, ๐Ÿ‘€๐Ÿ‘€๐Ÿ‘€TGBOT: @traleos_bot
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@Veee0x
Lady Vee
24 days
.@traleos_AI is an early AI project. I have been following its progress. I saw that its robot was launched, and there are product tests and airdrops. I like the concept of this token very much and can't wait to share it with everyone. I have registered my airdrop address. Anyone
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@traleos_AI
traleos
24 days
Some smart people who checked out our BOT early on have already registered the airdrop address.
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@traleos_AI
traleos
25 days
We document rating changes in a timeline: What happened โ†’ Why was the rating downgraded โ†’ When was it restored? The time dimension is key to understanding risk.
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@traleos_AI
traleos
27 days
#traleos's role in security governance: The community can propose and vote on "pause/resume thresholds" and "blacklist and whitelist rules." Security isn't just a slogan; it's a governable system.
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@traleos_AI
traleos
29 days
Default Strategy Newbies: More stable โ†’ Faster โ†’ More economical Experienced: Customize weights and save preferences Different profiles, different defaults โ€“ respecting differences rather than forcing uniformity.
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@traleos_AI
traleos
30 days
MEV-Sensitive Period Notice (Planning): When congestion and volatility combine, "estimated slippage may increase." Our goal is to provide advance notice and options for "order splitting, delayed execution, and rerouting."
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@OpenAI
OpenAI
1 month
2 Sora 2 updates: - Storyboards are now available on web to Pro users - All users can now generate videos up to 15 seconds on app and web, Pro users up to 25 seconds on web
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@traleos_AI
traleos
1 month
We have some new updates for the TG bot, ๐Ÿ‘€๐Ÿ‘€๐Ÿ‘€TGBOT: @traleos_bot
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@traleos_AI
traleos
1 month
False Positives vs. False Negatives Method: Replay historical extreme windows + real-time samples; Lessons: In the "sudden drop in liquidity" scenario, false positives are acceptable, but the warning text needs to be more direct (it has been optimized to include risk tone +
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@traleos_AI
traleos
1 month
We only integrate audited and field-proven protocols and implement a "quick demotion" policy for exceptions. When a path is suspended, the system clearly states the reason for the suspension, expected recovery conditions, and available alternatives.
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@traleos_AI
traleos
1 month
Explainable Risk Scoring System Dimensions: Contract Audit, Historical Events, TVL and Depth, Price Volatility, Slippage Threshold, and Bridge Health. Methodology: Static Profile + Dynamic Signals; Threshold-Triggered Warnings/Alternative Paths. Presentation: Not only a score,
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@traleos_AI
traleos
1 month
Our goal isn't "fancy zero-gas screenshots," but a truly sustainable gasless experience: one with rules, boundaries, and metrics. Closed beta is in progress.
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@traleos_AI
traleos
1 month
"Intent: Transfer 10 USDC from Ethereum to Arbitrum and stake it, prioritizing low slippage; if the payment fails, use standard payment instead. This type of "downgradable intent" has performed reliably in internal testing and is one of our recommended default modes."
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@traleos_AI
traleos
1 month
Tip: Multi-terminal consistency. On mobile WebView, we optimized the order and focus of signature pop-up windows to reduce accidental touches and return losses.
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