karanz.eth

3.1K posts

karanz.eth

karanz.eth

@iamkaransharmaa

Partnership in-Charge at SparkPoint Innovations $SRK

Katılım Haziran 2011
1.4K Takip Edilen3K Takipçiler
karanz.eth
karanz.eth@iamkaransharmaa·
Random user on X about @claudeai - These guys are literally on a mission to peak the unemployement and killing many products and businesses with every update. I guess you cannot be unemployed if you learn how to use AI better to make your livings. comment your thoughts below!
Claude@claudeai

Your work tools in Claude are now available on mobile. Explore Figma designs, create Canva slides, check Amplitude dashboards, all from your phone. Give it a try: claude.com/download

English
1
0
4
45
CapitalFirst 🎒
CapitalFirst 🎒@ChavvanRamesh·
@iamkaransharmaa @wallchain Wallchain and his team has real potential to get on utility for the platform and can become a leader of infoFi.. Hoping all positive things go on wallchain quack #nft
English
1
0
1
18
karanz.eth
karanz.eth@iamkaransharmaa·
What's good about @wallchain ? Onboarded most of the top CT accounts with 2x MoM organic growth – Partnered with High-Growth, Utility-Based Projects – Fair distribution algorithm designed with community input – Influence Score Can’t Be Manipulated. Learn more – x.com/kyparus/status…
English
1
0
5
46
karanz.eth
karanz.eth@iamkaransharmaa·
@wallchain just joined the list, hope not so late to the party lol?
English
0
0
0
12
Wallchain Quacks
Wallchain Quacks@wallchain·
Does your to-do list look the same? 🦆
Wallchain Quacks tweet media
English
204
26
348
11.7K
karanz.eth
karanz.eth@iamkaransharmaa·
@ChavvanRamesh @wallchain yep utility is always the best way to improve the product and tokenomics. many projects dies lacking utility
English
1
0
1
14
karanz.eth
karanz.eth@iamkaransharmaa·
why @wallchain is better than @KaitoAI ? - The Only Pure AttentionFi Platform - built to solve brand growth at scale. – Focused on Utility-Driven, Early-Stage Projects. – Algo rewards consistency, loyalty and on-chain footprint. – Anti-Farming by Design. No bots. No spam. No automation. – Humans read. Humans write.
English
4
0
5
50
karanz.eth
karanz.eth@iamkaransharmaa·
Just unlocked the Early Quacker on @wallchain 🏆 How cool is that? Feels great to have my contributions recognized. How’s Wallchain Quacks been treating you so far? Not on board yet? Drop a comment for an invite 👇🦆
karanz.eth tweet media
English
3
0
6
60
Animesh Koratana
Animesh Koratana@akoratana·
Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth by: 1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify. 2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find. ------ Here's why this matters: No one in your org has a complete picture of how your production software actually behaves. Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand. PlayerZero connects all of it into a single context graph - → The Slack thread where your lead said "we went with X because Y fell apart in prod last time" → The PR review where an engineer explained the tradeoff → The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets So you can trace any problem to its root cause across every silo. And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows. So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly. ------ Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth. ------ Our guarantee: If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice. Book a demo - bit.ly/3NlLMeN
English
898
810
5.3K
2.7M