Skip to main content

ideas-feedback-rants 2024-11-04

Summary​

In the Discord chat, participants engaged in technical discussions regarding fair distribution solutions on blockchain platforms, with adi | NINJA introducing Mint.it as a unique solution for FAIR distribution using randomness from Solana blocks. The platform's educational aspect was noted to be steep due to its initial purpose of solving token generation event problems rather than education. A lighter version has been released publicly, marking the culmination of years of work on this chain and standing out as the only market solution for fair distribution onchain today.

The chat also touched upon trust scores for partners pitching pmairca, with kingdode suggesting that analyzing top Key Opinion Leaders (KOLs) on Twitter to assign them trust scores could be an interesting addition. Octavian69 provided feedback on maintaining focus on actionable insights during discussions about pmairca.

Furthermore, the community discussed potential improvements and milestones for OK, with Rick sharing a link showing OK's progress in SOL holdings. DorianD suggested addressing specific issues to gain more trust within the community, referencing a Solana tracker website as an example of areas needing attention.

FAQ​

  • How can we ensure fair distribution of tokens using blockchain technology?
  • adi | NINJA: Mint.it is a platform that solves FAIR distribution by utilizing randomness generated from Solana blocks, making it the only solution on the market today for this issue.
  • What are some potential benefits of hiring a top trader to train our AI?
    • Burtiik: Hiring a renowned trader could be beneficial for both training your AI and as a great marketing opportunity, possibly even at no cost due to the interest in such an experiment.
  • How can we evaluate when to sell tokens during degen plays?
    • eman8n: It's important for traders like Degenai to assess the right time to sell their tokens while engaging in more aggressive trades, ensuring they don't miss out on potential profits.
  • What can be learned from analyzing top KOLs (Key Opinion Leaders) on Twitter and assigning them trust scores?
    • kingdode: Analyzing influential individuals who move the market on social media platforms like Twitter could provide valuable insights, allowing for the assignment of trust scores to these influencers. This approach may help in making more informed trading deciisions based on their impact on the market.

Who Helped Who​

  • Burtiik helped with finding a trader by suggesting to hire one who is well presented in x, potentially for free, as famous traders might be interested. This could aid in marketing and training AI.
  • adi | NINJA helped the community by introducing Mint.it, which solves fair distribution using randomness from Solana blocks, addressing problems faced during token generation events.
  • kingdode offered a suggestion to improve pmairca's trust score system for partners and top KOLs on Twitter who influence the market.

Action Items​

Technical Tasks:

  • Evaluate when to sell in degen plays, specifically for Degenai (mentioned by eman8n)
  • Find and hire the best trader to train our AI, potentially for free due to interest from famous traders (idea proposed by Burtiik)
  • Release a lighter version of Mint.it platform to the public as it's now ready after years of work on this chain (mentioned by adi | NINJA)
  • Implement trust scores for partners pitching pmairca and top KOLs that move the market on Twitter (suggested by kingdode)

Documentation Needs:

  • Review lessons from VNPY's README_ENG.md#js-repo-pjax-container to potentially apply them elsewhere (requested by sirkitree)

Feature Requests:

  • Add conditionals in pmairca discussions to maintain focus on actionable insights when conversations go off topic (feedback provided by Octavian69)

Community Tasks: