Won Best Overall Project in the Zerops Challenge by @WeMakeDevs .
My first-ever hackathon, and Iโm incredibly grateful.
Thanks @zeropsio , @kunalstwt , @BatsouElef Batsou, and @FrancescoCiull4 Ciulla for making this possible.
Built Deplot AI. ๐
๐ The Zerops Challenge: Winners Announcement!
Over 250 projects were built and deployed during the challenge, taking ideas from code to live applications with @zeropsio.
The winners are here ๐
๐ฅ Best Overall Project - Manan Paliwal
Deplot AI: An AI platform engineer for Zerops that takes a GitHub repo from architecture and deployment to live monitoring and self-healing.
๐ Top Social Post - Raj Tiwari
๐ฐ $1,000 Zerops Credits Winners:
1. Hardik Khanduja
2. Prince Panchani
3. Gautam Khosla
4. Abdul Talha
5. Danish Ali Siddiqui
Congratulations to all the winners! ๐
A huge thank you to everyone who participated and built amazing projects throughout the challenge.
Ready for the next one? ๐
Join the Into the Scrape-Verse Hackathon and compete for $15,000 in prizes!
๐ https://t.co/mlyABACa7b
Finally out in the wild. ๐
What started as a hackathon idea became a deep rabbit hole.
Proud of what we built with everyone involved. Lots of late nights, broken things & โone more tryโ moments :DDD
Continuum is live. ๐
@abhirupvg@iHarnoorSingh@contextkingceo
finallly we are done
Continuum โ company memory that connects Slack + Gmail, understands change over time, and exposes one canonical state across Web, Slack & MCP ๐
512K docs โข 17.8s p50 dev run :DDD
โ https://t.co/LnJ9d9kMxn
@abhirupvg@iHarnoorSingh@contextkingceo
@lazyclaude@hydra_db@iHarnoorSingh@debojyotidm@abhirupvg Really excited to be building this.
The โwhatโs actually true?โ problem gets way more interesting once you start connecting signals across different systems.
More to come.
Enterprise AI has a retrieval problem
We think the harder problem is knowing whatโs actually true
Building Continuum for @hydra_db turning fragmented company signals into trusted state
Building this with @crooderXgojira :D
More soon๐ซก
@iHarnoorSingh@debojyotidm@abhirupvg
Enterprise AI has a retrieval problem
We think the harder problem is knowing whatโs actually true
Building Continuum for @hydra_db turning fragmented company signals into trusted state
Building this with @crooderXgojira :D
More soon๐ซก
@iHarnoorSingh@debojyotidm@abhirupvg
Won Best Overall Project in the Zerops Challenge by @WeMakeDevs .
My first-ever hackathon, and Iโm incredibly grateful.
Thanks @zeropsio , @kunalstwt , @BatsouElef Batsou, and @FrancescoCiull4 Ciulla for making this possible.
Built Deplot AI. ๐
๐ The Zerops Challenge: Winners Announcement!
Over 250 projects were built and deployed during the challenge, taking ideas from code to live applications with @zeropsio.
The winners are here ๐
๐ฅ Best Overall Project - Manan Paliwal
Deplot AI: An AI platform engineer for Zerops that takes a GitHub repo from architecture and deployment to live monitoring and self-healing.
๐ Top Social Post - Raj Tiwari
๐ฐ $1,000 Zerops Credits Winners:
1. Hardik Khanduja
2. Prince Panchani
3. Gautam Khosla
4. Abdul Talha
5. Danish Ali Siddiqui
Congratulations to all the winners! ๐
A huge thank you to everyone who participated and built amazing projects throughout the challenge.
Ready for the next one? ๐
Join the Into the Scrape-Verse Hackathon and compete for $15,000 in prizes!
๐ https://t.co/mlyABACa7b
what is agent looping
for the last two years we prompted agents one task at a time. that is starting to change
instead of asking an agent to build the landing page and then driving every step yourself, you set up a loop that handles discovery, planning, the work, checking, and iterating until the goal is met
looping is a setup you build. almost any agent harness can run it, it just depends on how you wire it up
at its simplest, looping is one agent working on itself:
> researches
> drafts
> checks the draft against a goal
> fixes what is weak
> runs that cycle again until the work clears the requirements
you are not prompting each step anymore. the agent repeats the cycle for you
the bigger version is a fleet looping. you give an orchestrator agent a goal, it breaks the goal into pieces, hands each piece to a specialist agent, and those specialists hand smaller jobs to their own subagents
the whole tree keeps looping through discovery, planning, execution, and verification until the goal is met
one agent looping is like a person redoing their own draft. a fleet looping is a whole team running a project end-to-end
you create a goal, and the system runs the loop until it finishes within the reqs you set
open and closed looping:
OPEN LOOPING is exploratory. it still has conditions and a goal, but you give the agent or the fleet a wide space to move in. it can try different paths, discover things, build something you did not fully spec out
this is the exciting end, it is what Peter and others are doing, and tbh it is where I want to spend more time
the catch is cost, an open loop with real room to explore burns an insane amount of tokens. for the 90 percent of people without an unlimited budget it is not runnable yet, and pointed at projects with a loose standard it turns into a slop machine
CLOSED LOOPING is bounded. a human designs the end-to-end path first:
> clear goal
> defined steps
> an eval at each step
> a point where it stops or hands back to you (and feeds back performance data)
the agents still loop, but inside framework you built. it gets better every run because each pass feeds the next, and it runs on a normal budget because the path is tight.
for most marketing work, closed is the one that pays off today.
> the orchestrator owns the goal
> the specialists own the steps
> the subagents do the narrow work
> an eval gate make sure its not slop
We Have Won! No one can use โORSโ on their label unless itโs a WHO-recommended formula.
This is the story of Dr. Sivaranjani Santosh, a braveheart paediatrician from Hyderabad, who fought for 8 years against sugar-rich drinks falsely marketed as ORS.
Her persistence led to FSSAIโs landmark order, protecting children and patients from misleading claims.
โThese drinks had 10x the sugar WHO recommends, worsening diarrhoea and complications in millions of kids,โ she explains.
This victory is not just hers, but belongs to everyone who stood with her โ doctors, advocates, parents, and citizens demanding truth in labeling.
Scroll down to see how her 8-year battle changed the game for public health and children across India.
Credits : drsivaranjanionline on IG
#HealthVictory #PublicHealthIndia #ChildSafety #TruthInLabelling #FSSAI #DoctorsForChange #IndiaFightsBack
[ORS Ban India, Dr Sivaranjani Santosh, FSSAI Order, Public Health Victory, Sugar Drinks Misleading Labels]