Creator of AI Grants India, by nights & weekends. (not yet affiliated with aigrant.org but looking for an intro to Daniel & team!)
Open Source, Internal Products & Applied AI at an Indian unicorn, by day.
2x founder. Ex distributed systems engineer turned neobanker. since 2022 ive building internal products / inhouse versions of SaaS products.
Prior i...
Was in the first cohort of Antler India residency
Helped a global neobank scale cards in Nigeria
Worked at an Indian Regulated Entity (NBFC called Kudos Finance)
founded bon credit (800,000 micro-credit loans to gig workers, raised $, $300k revenue until it grew to be the 25th largest Indian Bank in credit card volume and shut down in the lock down)
worked with the founders at helpshift, as staff and product engg lead. Built an erlang kafka producer called ekaf here (150+ stars)
helped the founder build Verbs.im , appetite.io
consulted and built a team & product at spotzot (acquired)
early employee @taptolearn ( YC '12 )
entrepreneur at hover.in (soft-landed)
early developer at tutorvista (acquired by pearson)
@BoskyKode | http:///github.com/bosky101 | bhaskerkode at gmail | https://in.linkedin.com/in/bhaskerkode
19G85Uj7BZeswtcZd1PZwLDXoE4XpAdUzs
more about me here
=> https://bit.ly/hi-im-bosky
[ my public key: https://keybase.io/bosky; my proof: https://keybase.io/bosky/sigs/C3SJ3wQSJC9u6o4mTrL692JQ1xOgXqIN6f7da_XCMj8 ]
Submissions
Show HN: ShipMD.app – Moving things in folders, move things in the real world
shipmd.app
5 points·by bosky101··6 comments
[untitled]
1 points·by bosky101··0 comments
Show HN: Summarize Slack channels as you scroll (via secure offline model)
slarc.app
1 points·by bosky101··0 comments
A mineral found in Kachchh could help date events on Mars
researchmatters.in
2 points·by bosky101··0 comments
Deep Learning Course by Yann LeCun and Alfredo Canziani
atcold.github.io
3 points·by bosky101··0 comments
Show HN: My attempt of satire comic on the MCP gold rush
twitter.com
3 points·by bosky101··0 comments
What is Zombie Prompting: in 5 simple images
twitter.com
4 points·by bosky101··0 comments
I offered to pay LLMs for 90 AI hackathon devs with my credit card
twitter.com
1 points·by bosky101··0 comments
Ask HN: What is the 1 question you would ask your potential customer?
1 points·by bosky101··3 comments
Turbo charge your Mac(zsh) in 5 lines
1 points·by bosky101··2 comments
Over 800 GenAI Hackathon Ideas
devfolio.co
2 points·by bosky101··0 comments
Show HN: Roast/review my hackathon submission in a microniche like doc security
devfolio.co
1 points·by bosky101··0 comments
Power of Micro Data Centers
von-neumann.ai
1 points·by bosky101··0 comments
Group buying for hosting, for cheaper large company pricing
pump.co
1 points·by bosky101··0 comments
President Mode
twitter.com
1 points·by bosky101··0 comments
Hermes: A Text-to-SQL Solution at Swiggy
bytes.swiggy.com
3 points·by bosky101··0 comments
5k word essay on understanding tokens and embeddings by jaju
msync.org
1 points·by bosky101··1 comments
17-year-old wins $250k for emulating neurons for smarter, safer AI
businessinsider.com
2 points·by bosky101··0 comments
Show HN: Tmuxall – start a list of commands into 1 tmux session
1 points·by bosky101··0 comments
The highest rated hardware cold wallet is an open source one (45m read)
i created https://nonfungibledocs.com using few concepts of ab testing and natural language processing. basically from a single doc or email - if you create as many subtle variants (of prepositions or grammatical or punctuation) if any of the 2000 leak, then you can even from a single page of a leak - reverse engineer who was the leak.
i've never had situations where i prompt and had to go out for coffee or a walk or drive. one shotting - your first prompt. perhaps.
but like a person - when the possibility of going off in the wron g direction is so high, i've always had 1 - 2 line prompts, small iterations much more appealing. The only times i've had to rollback would be when i run out of credits, and a new model cant deal with the half baked context, errors, refactoring.
Rye allows you to even enter shipping info and pay for the product. But I can't help but feel it hasn't got the traction it deserves.
1) Are there plans to allow Devs to do the same?
2) why wouldn't you open the limit beyond 1000 free as long as you are making a rev share
3) does this pick from Shopify products/stores?
Imo the agentic loop isn't really closed unless you allow agents to pay and paywalls today aren't agent friendly. Tokenized cards, 16 digital cards. Perhaps but this involves high trust from users. Which means you are left with guiding users to the link and hoping they buy the product.
4) partnering with merchants where cards are already tokenized maybe your best converting potential customer base. But it's easy to do evil here, or loose trust without guardrails.
5) I would come up with a process to incentivize adding products to the ecosystem. However tiny the reward.
Lot of opportunity. Nice pitch. Good luck!
Would try this out of you can increase the 1k limit to something that is a win:win
As a consumer I'm asking myself why not just make an extension. I can see myself trying and picking 2 or more browser addons to to turbo charge + chat with any page.
From a founder hat, I can see why the code base is a moat, hard problem. I hope the effort is worth the cost.
Your first 2 examples on your readme involve single agents. These are a waste of time. We don't need yet another llm api call wrapper. An agentic system with just 1 tool / agent is pointless.
Thankfully your third example half way down does have an eg with 3 agents. May have helped to have a judge/architect agent.
Not clear about the infra required or used.
Would help to have helper functions to get and set session state/memory. Being able to bootstrap from json could be a good feature.
Would help to have diff agents with diff llms to show that you have thought things through.
Why should spawning 1000's of agents even be in your benchmark. Since when did we start counting variables. Maybe saying each agent would take X memory/ram would suffice - because everything is subjective, can't be generalized.
Consider a rest api that can do what the examples did via curl?
Would have been good if the familiar navbar would have been retained. Btw /show gave 404. Trivial to support those urls. The filters were too tough to find.
Yes, anyone can apply. But it's important to refrain from over engineering how it's built, what framework or what model. These are all secondary for a startup.
MVP matters.
Customer traction outweighs all.
Getting folks to pay for AI is challenging. If you manage to crack a niche and do so and pay or pre-order - that will give you an understanding and core tenant that is expected from companies to scale once they get accepted into YC.
It's tougher to get the average chatgpt free user - to pay for an unknown startup. All you need is one company to agree to pay. Because if you can get 1 (not friends & family), you get 10. And then get 100.
If I were you, my #1 focus for the entire team would be to get 1 company to pay, before starting to build or touch code. Get the initial NO's to tweak every cold call/email/pitch refining every day until you crack your first deal. I would stay away from long tail consumers.
Sorry for the offtopic post, but I am looking to hire someone with 10 years of experience with is-even-ai. Urgent. Your first unpaid assignment will be to help load balance a bunch of MCP servers to add and THEN check if it's even. So much to go from here! We're a single threaded GPU first identity operator company with a lot history of returning the same thing. We're now expanding to combine and add multiple things. In 6 months of SOTA fine tuning we can already add upto 3 numbers. An MCP first. With temperature 1 we even add random numbers. An industry first. And we're just getting started. Join us. We're adding to our team!
https://x.com/boskykode
Creator of AI Grants India, by nights & weekends. (not yet affiliated with aigrant.org but looking for an intro to Daniel & team!)
Open Source, Internal Products & Applied AI at an Indian unicorn, by day.
2x founder. Ex distributed systems engineer turned neobanker. since 2022 ive building internal products / inhouse versions of SaaS products.
Prior i...
@BoskyKode | http:///github.com/bosky101 | bhaskerkode at gmail | https://in.linkedin.com/in/bhaskerkode
19G85Uj7BZeswtcZd1PZwLDXoE4XpAdUzs
more about me here => https://bit.ly/hi-im-bosky
[ my public key: https://keybase.io/bosky; my proof: https://keybase.io/bosky/sigs/C3SJ3wQSJC9u6o4mTrL692JQ1xOgXqIN6f7da_XCMj8 ]