just did a cohort based analysis of @farcaster_xyz social how things have been moving since oct 15, at the network level and for each client
feel free to check it out: graph.phunk.social
few insights, people are trying out other clients
- warpcast went from ~97% of actions to ~79%
- @thefireflyapp went from 0.3% to 7.2%
- unnamed app keys went from 0.1% to 6.7%
@suji_yan curious to know your thoughts on how you envision @thefireflyapp moving forward and what it means for you when most active people of @farcaster_xyz social are shifting towards firefly
what's next for them?
Replying to @ramitphi @farcaster_xyz
@rish_mukherji curious to know your thoughts; given you took the baton and tried to double down on the builder aspect of @farcaster_xyz communities and tried to build upon it with no-code mini-apps
Replying to @ramitphi @farcaster_xyz
@dwr curious to know your thoughts; given you have built it with bottom-to-top approach and laid down the initial foundation of the @farcaster_xyz social
cohort selection
- Started from 5 channels: nouns, purple, base, degen and dev. We kept up to 400 of each channel’s most active casters from the past year.
- Added the accounts that group follows most, one hop out.
- Pulled 90 days of casts, reactions and app keys for everyone, straight from a Snapchain node.
- Compared the days since Oct 15 with the same number of days just before. “Normal” is the same test run on an earlier window, so we know what a regular week looks like.
- A random sample of 10k FIDs is the check against the whole network.
Ramitphi retweeted
Scan your smart contracts before attackers do.
We are opening beta access to QuillShield, our multi-agent auditor for EVM smart contracts, for the first 50 teams.
October has made it clear that waiting is no longer an option. In the last few days alone:
• PHP: pre-auth remote code execution, CVSS 9.2
• GitLab: CVSS 10, self-hosted servers back to 2014
• Node.js: 10 CVEs in one release
• Railway: customer secrets accessed
• LiteLLM: credential stealer shipped on PyPI
AI helped find some of these bugs, and attackers have the same tools.
A bug in a deployed smart contract can drain funds in a single transaction, so we built QuillShield to find them first. Here's what it has done so far:
> 25 Critical or High vulnerabilities caught across 155 projects
> 497 findings, with 85% of auditor-reviewed ones confirmed valid
> 350,000+ lines of Solidity reviewed
> 83.8% on EVMBench, against 45.6% for the best published model
Here's the beta link: shield.quillaudits.com/
August was my last month at @huddle01com.
For nearly six years I was the only product designer there, working on everything from fundraising pitch decks to mobile apps, dashboards, websites and the brand. What a blessing it was.
Thank you to @ranjan3118, @Susmit_Lavania, and a team that was generous, smart and fun to build with.
Now contracting with two companies, with room for one more contract project. If you're building something, I'd love to hear about it.
p.s. My design work has its own home now. Small tools, design resources, and the odd, chaotic stuff, all at @pixelyokai.
rare person with “just do it” personality with touch of finesse
we used to call it Adi’s magic✨
August was my last month at @huddle01com.
For nearly six years I was the only product designer there, working on everything from fundraising pitch decks to mobile apps, dashboards, websites and the brand. What a blessing it was.
Thank you to @ranjan3118, @Susmit_Lavania, and a team that was generous, smart and fun to build with.
Now contracting with two companies, with room for one more contract project. If you're building something, I'd love to hear about it.
p.s. My design work has its own home now. Small tools, design resources, and the odd, chaotic stuff, all at @pixelyokai.
cab drivers today lack real-time insight into traffic in areas, identifying hotspots and areas with less competition for rides
tried to solve this by taking intuition from social graphs as visualization by representing each area as a node
focused on the part where it is easy to infer the info at one glance
- green represents high-earning activity, yellow medium, and red low (familiarity)
- if there is a surge or high demand, that node pulsates (visual to understand surge)
- if relatively more cab drivers are already present, then that node is represented in larger size
clicking on every node provides them insights and a readable message to understand in the initial days
@Uber_India @rapidoapp_ @nammayatri
working on a workflow to suggest changes to add to my portfolio website
based on the data fetched from github, notion pages, medium articles, can extend to other soruces too
kinda captures what progress I have made and then suggests the relevant changes, drafts a PR for the same, and once I review and merge it, the changes go live
all powered by @librahq, kinda fun
just hit the limit for today though lol
had a dumb idea: map my career as a neural net
then i actually built it
every role is a layer. every bullet is a neuron. every project is a forward pass.
link to play with the weights: ramitphi.me
Onchain wizard is live on @Peerlist launchpad
do give a upvote, if you liked the idea and product
peerlist.io/ramitphi/project…


















