Seraphnet Cancels $DLLM Public Sale, Focuses on Community and Product Readiness
Seraphnet has announced the cancellation of its $DLLM token sale originally planned for launch on Fjord after community FUD.
Author: Sahil Thakur
Written On: Tue, 10 Dec 2024 04:30:31 GMT
Seraphnet has announced the cancellation of its $DLLM token sale originally planned for launch on Fjord. The decision has been made to reflect a strategic shift to prioritize community engagement and align the token launch with the debut of its v1 no-code agent platform.
- No Public Sale: The planned public sale on Fjord and any other platform has been canceled.
- Token Distribution to Stakers: Tokens initially reserved for the public sale will now be vested freely to $DEAI stakers without requiring funding.
- Launch Postponement: The $DLLM launch has been delayed by two weeks to coincide with the platform’s v1 product release and centralized exchange (CEX) listings.
Seraphnet emphasized its commitment to community-first principles, stating that $DLLM will be exclusively distributed through an airdrop to $DEAI stakers.
Seraphnet Agent Flow v1
The team also revealed that it plans to launch its v1 product, Agent Flow, in four stages. The platform focuses on no-code automation tailored for social feeds and new token launches.
- Twitter Integration: The platform will automate social media tasks, including posting and responding to tweets. Users can select AI models, adjust strategies, and access analytics.
- Agent Launcher: Users will tokenize agents, connect them to socials, and pair liquidity pools via Uniswap. Agents can process token-paid requests, with $DLLM serving as a liquidity incentive.
- Semantic Search: Real-time data from Twitter, news, and websites will train and enhance agents. Users can configure topics of interest for personalized outputs.
- Future Expansions: Further enhancements will refine automation and scalability as new stages roll out.
Seraphnet will delay $DLLM’s launch until the first two stages of Agent Flow are live.
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Seraphnet Agent Flow v1