DeepSeek V4 Flash is on Peezy Go, free until the pool runs out.
1M-context coding model, Free for limited time: deepseek/deepseek-v4-flash-0731
Grab it on the Peezy → https://t.co/aSoVEz7HST
Have fun coding
Chart looks cooked but still positioned in solana:HmTi3CQfKfXWbn1tNoiAxH7GzMV7L3tDAmPWabZEBAGS this was at 4m last week. 30k buy volume sends this back close to 1m mc due to @BagsApp liquidity! @SerPepeXBT ✌️
Added a juicy position to solana:HmTi3CQfKfXWbn1tNoiAxH7GzMV7L3tDAmPWabZEBAGS - saw @vibhu engaged with them and @SerPepeXBT kinda brushed him off rudely (mom died sadly)
Can see this going bonkers - it all checks out. No.1 ai token on @solana@toly
Started accumulation of solana:Fnmq5udTPPkxGjw8nDtnRsjJWfHfdNmsfKGLhUerBAGS by @grenlouis - dude is building the next gen big brain LLM tek @Teknium !
This will do numbers.
Position yourself to bangers. Same tingle in my balls i get from $leon in the same way i had for $BioLLM
Started accumulation of solana:Fnmq5udTPPkxGjw8nDtnRsjJWfHfdNmsfKGLhUerBAGS by @grenlouis - dude is building the next gen big brain LLM tek @Teknium !
This will do numbers.
Position yourself to bangers. Same tingle in my balls i get from $leon in the same way i had for $BioLLM
$Trump Coin on @TrumpCoin__Bonk is the legit runner!
Dev of the pumpfun version - $TrumpCoin is being heavily farmed by both @Bonkillion and @Pumptillion !!!
Can verify this @badattrading_ 🙏
Bet on the real winner b4 trumps speech in couple hours
Today we decided to do a fair launch on @Orynth to bring more awareness to what we're building and let the community take part in the journey from day one.
@FalkorDB is a blazing fast graph database designed for AI applications. It is built for real time relationship queries at scale, with support for multiple graphs in a single deployment for efficient multi tenant applications.
Instead of relying only on vector search, FalkorDB traverses explicit relationships so AI systems can reason across connected data more accurately. That makes it useful for multi hop reasoning, code navigation, fraud detection, and knowledge graphs.
Launching a market on Orynth helps bring more eyes to FalkorDB and gives the community a simple way to discover what we are building while the team keeps shipping graph native AI infrastructure.
The official contract address:
C1mg2ddme7Hpwjmxngr1AfrwRSmLqL1CVHPzUmapEory
Please make sure you only use the CA shared from our official channels.
More updates coming soon.
Hi, Guy (and the team),
I hope you are doing well.
A few days ago, I contacted you as a long-term supporter of FalkorDB and FLKR holder to inquire about the progress of token utility and possible ways to better align it with the product direction (such as cloud use points, betting mechanism or token access function). I haven't received a reply yet, but I fully understand that you are busy with construction.
I just saw a new blog post about the integration of ActiveGraph + FalkorDBGraphStore. To be honest, this feels like a solid step. Moving the proxy diagram projection from pure memory to something that can be used for Cypher query, cross-process sharing and expandable through the cloud is very meaningful for real production proxy systems. Replay and multi-run isolation from the event log are also a good touch.
I'm glad to see that the team continues to promote proxy memory/GraphRAG - this is obviously the direction of many future uses.
That is to say, as a person who has been holding and paying attention to it for a period of time, I still hope that we can see more specific movements in terms of token utility to match the progress of this product. Even high-level thinking about schedules or priorities can be very helpful to the community.
If there is any update (or more regular community update/AMA plan) in this regard, I would like to hear it. As a supporter, I am happy to share feedback or help as much as possible.
Thank you again for your work.
Best regards,
FLKR holders and long-term FalkorDB supporters
Hermes community contributor launched Synapse: memory that forgets by design. Instead of MEMORY.md growing endlessly, low-salience facts decay while key details remain. It uses a temporal knowledge graph (Graphiti + FalkorDB, self-hosted via Docker) that tracks when facts were true, so querying “what changed before the switch?” returns precise answers. The "hippocampus layer" applies salience scores + an Ebbinghaus forgetting curve where important info fades 4x slower. Early MIT project, worth exploring.
via @witcheer
Hermes community contributor launched Synapse: memory that forgets by design. Instead of MEMORY.md growing endlessly, low-salience facts decay while key details remain. It uses a temporal knowledge graph (Graphiti + FalkorDB, self-hosted via Docker) that tracks when facts were true, so querying “what changed before the switch?” returns precise answers. The "hippocampus layer" applies salience scores + an Ebbinghaus forgetting curve where important info fades 4x slower. Early MIT project, worth exploring.
via @witcheer