In-house products — Each one started as something broken.

  • 01 — Execution platform

    TraderOps

    Write a strategy once and it behaves the same whether you are backtesting it, paper-trading it, or trading it live with real money. One engine, eight Indian brokers. Going live doesn’t mean porting anything or rewriting anything — you switch the mode and the same code keeps running.

    • 8 brokers
    • Indian markets
    • One engine, three modes
    • 50+ active traders

  • 02 — Sales automation

    OutreachKits

    You give it a location and a business type and pick where to look — Google Maps or YouTube. It pulls back real businesses with their phone, email and website, or the channels working in that space. Each one gets an automated audit of its site, and when you are ready, an AI agent picks up the phone and pitches the lead for you.

    • Maps + YouTube sourcing
    • AI calling agent
    • Free tier, no card
    • 10+ companies using it

  • 03 — Startup tooling

    IdeaValidator

    Describe a startup idea in plain language and get it scored 0–100 across five weighted criteria — market viability, innovation, feasibility, monetization and defensibility, each graded on its own. The result is something you can argue with rather than a single verdict handed down. Monetization options come back with their pros, cons and an effectiveness rating. Free to use, and there is no card.

    • 300+ ideas validated
    • 10+ founders served
    • 5 weighted criteria
    • 0–100 per dimension

  • 04 — Hiring automation

    ProScreener

    Companies post an opening; candidates find it, apply and hand over a resume and their details. An AI reads each application against the role and returns a 0–100 score for how well it fits. You set the threshold that matters to you, and every candidate over it goes into a live, conversational AI interview as the first round — so your team meets a shortlist that has already been screened, not an inbox.

    • 0–100 ATS score
    • Threshold you set
    • Live AI first round
    • Resume + profile intake

  • 05 — Lead generation

    Reddit Lead Bot

    You tell it the topics to watch — the problems your product solves, the terms your buyers use. It scans Reddit around the clock across the subreddits those conversations happen in, and when a matching post or discussion shows up, it sends you the link to the thread. You join the conversation while it is still live; it finds the openings, you work them.

    • Scans Reddit 24/7
    • Topics you define
    • Links to live threads
    • Surfaces, never posts

  • 06 — Smart networking

    Konectify

    You meet a stream of people at an event and cannot hold it all — the name, the face, the thing you said you would follow up on. Konectify is where each person lands the moment you meet them: type a quick note, speak it, or scan their card, then add their socials and what you discussed. It keeps everyone searchable, organised by event and tagged how you think, and reminds you to follow up before a good contact goes cold. The networking you already do, with a memory that holds.

    • Type, speak or scan
    • Details, socials, context
    • Search everyone you met
    • Remembers, never messages

01 / 06

Try TraderOps (opens in a new tab)The full case study

  1. The problem

    Most algo trading runs on three tools that quietly disagree with each other. A broker terminal for placing orders, a backtester whose fills never quite match the real ones, and a spreadsheet holding the risk together. So a strategy looks good in the backtest and then comes apart live, because the entry math, the slippage and the order handling were each a little different along the way. Stop-losses get babysat by hand across accounts. And when a day goes bad, there is no single switch that stops all of it at once.

  2. What it had to do

    One engine that runs the same strategy across backtest, paper and live, so what you tested is exactly what you are trading. It stays broker-agnostic, and it is safe because of the way it is built — not because someone remembered to watch it.

  3. How it holds

    The trigger prices — stop-loss, target, trailing — are pinned to what the strategy intended, not to the price you actually got filled at. That is the core idea: the trigger ladder comes out identical in backtest, paper and live, and slippage only ever moves the fill. Underneath it, a single reconcile loop is the only thing allowed to write trade state, so order polling and events can’t race and end up disagreeing about a position. Everything that acts on a trade — a Telegram message, a call from an AI client, a webhook, the scheduler — runs through that same audited path. There is one place where a trade’s truth gets decided, and one place to look when you need to know why something happened.

All six

Everything we run, end to end.

The carousel takes one product at a time. This is the whole set, in the order we built them.

01 — Execution platform

TraderOps

Inside TraderOps

Backtest a strategy, paper-trade it, then run it live on the same engine, across eight Indian brokers.

  • 8 brokers
  • Indian markets
  • One engine, three modes
  • 50+ active traders

02 — Sales automation

OutreachKits

Inside OutreachKits

Scrape leads from Google Maps or YouTube, audit their website, and put an AI agent on the phone to pitch them.

  • Maps + YouTube sourcing
  • AI calling agent
  • Free tier, no card
  • 10+ companies using it

03 — Startup tooling

IdeaValidator

Inside IdeaValidator

Scores a startup idea 0–100 across five dimensions, from market viability to defensibility. Free to use.

  • 300+ ideas validated
  • 10+ founders served
  • 5 weighted criteria
  • 0–100 per dimension

04 — Hiring automation

ProScreener

Inside ProScreener

Post a role, score every applicant 0–100 against it, and let AI run the first-round interview live.

  • 0–100 ATS score
  • Threshold you set
  • Live AI first round
  • Resume + profile intake

05 — Lead generation

Reddit Lead Bot

Inside Reddit Lead Bot

Watches Reddit around the clock for topics you choose and sends you the threads where buyers are talking.

  • Scans Reddit 24/7
  • Topics you define
  • Links to live threads
  • Surfaces, never posts

06 — Smart networking

Konectify

Inside Konectify

Capture everyone you meet at an event — details, socials and what you discussed — so no good contact goes cold.

  • Type, speak or scan
  • Details, socials, context
  • Search everyone you met
  • Remembers, never messages

FAQ

The products, answered

What each one does, how it is built, and what it would mean to work with the team behind them.

General

  • Ours. We set the roadmap, we operate them, and we carry the on-call. Work we did for clients lives on the case studies and projects pages instead — the split matters, because owning software is a different claim from having shipped it.

  • The same engineering team that takes client work. Building and running our own software is how we find out what an architecture does under real load before we recommend it to anyone.

  • Yes — that is the main thing we do. These three are what the team builds when it is also the client. The services page lists what we take on, and a call is the fastest way to find out whether your problem is one of them.

TraderOps

  • SL, target, and trailing trigger prices are anchored to the strategy's intended entry rather than the actual fill, so the trigger ladder is computed identically in backtest, paper, and live. Slippage moves only the fill price — never the trigger — which keeps results paisa-exact across modes.

  • Eight right now — Zerodha, AliceBlue, Tradejini, Zebu, Dhan, Delta, Kotak Neo and Motilal Oswal. A broker-agnostic layer normalises how each one behaves, so the same strategy runs on any of them, and adding a new broker doesn’t disturb the ones already live.

  • Yes. The strategy builder composes ORB (Opening Range Breakout), WAT (Wait-And-Trigger), re-entry, and multi-leg option strategies through configuration — no code required — and you can control everything from Telegram or an MCP-connected AI client.

OutreachKits

  • It scrapes business prospects directly from Google Maps and YouTube — sources where target customers already maintain a public presence — then consolidates them into one dashboard.

  • Every prospect gets an automated audit of its website — Core Web Vitals, SEO and the tech stack behind it — and that report is what you read. OutreachKits does not rank or score the list for you; it gives you a specific, checkable reason each call is worth making.

  • No. The free tier includes five scrapes per day with no credit card required, so you can find and qualify leads before deciding to upgrade.

IdeaValidator

  • You describe your idea in plain language and an AI evaluates it across five weighted dimensions — market viability, innovation, feasibility, monetization and defensibility — returning a 0–100 score for each one.

  • Yes. Alongside the scores you get revenue models for the idea, each with its pros, its cons and a rating of how well it would work. That is the part that turns a result into a decision about what to do next.

  • You sign up, but you do not pay. It is free to use, there is no card, and the analysis comes back on the same screen rather than by email.

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