
Product | GTM | Marketing | Co-Founder & CEO @dopamynai | @askroger_ai | Member @SuperteamDE family | ex @yellow | TG: https://xitter.cf/t.co/hIMPm4JhJ1
Germany
Joined April 2022
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are you ready to get your Dopamyn Kick?
. @Solana Summit was a big success. We were very grateful and excited that we could reach a much bigger audience during the Solana Startup Showcase.
Thanks to @Superteamde team for making it possible, and we look forward to helping Solana startup scale.
. @dopamynAI will be on the list 💪
At @ycombinator, we're excited to fund more crypto startups solving financial needs including AI capital raising, stablecoins, trading, and agents.
Here's our latest crypto request for startups. Our next application deadline is Monday.
Goldie (🧠,💻) retweeted
Neel Salami Solves Navier-Stokes, $ANT Nukes on the News xitter.cf/i/broadcasts/1wxWjleZz…
Goldie (🧠,💻) retweeted
Tokenized stocks are no longer some niche experiment happening in a corner.
From major exchanges to smaller onchain teams, more players are getting involved and building across the space.
We've tried to make sense of it all by mapping things out - who's issuing the stocks, where they're being traded, who's lending against them, and who's providing the rails.
Have a look and bookmark it so you've got a handy reference the next time you're researching tokenized stocks.
ngl this is a must try.
Announcing Fynd InBlock
The first solver run by block builders.
xitter.cf/PropellerSwap/status/2…
Goldie (🧠,💻) retweeted
Announcing Fynd InBlock
The first solver run by block builders.
xitter.cf/PropellerSwap/status/2…
Goldie (🧠,💻) retweeted
i am always interested to understand how actually a DEX routing actually works (and why 1 in 4 big swaps gets a worse price than it could have)
> price isn't a number, it's the slope of that curve where you are
> a big trade slides down the curve, so every extra token costs more
> that's why one big swap in one pool is almost never optimal
> an AMM pool is just a curve: x * y = k
> the fix: split across pools until the last token costs the same everywhere
> add multi-hop paths (USDC→DAI→ETH) and it becomes a graph problem
> routers solve that graph off a snapshot of reserves from block N
> your tx lands at index i of block N+k, and every tx before it moved the curves
> so the "optimal" split was optimal for a state that no longer exists
> minOut caps the downside, it doesn't make the stale route optimal again
> the fix is to re-route inside the block, at the exact index your tx lands, on the state it actually settles against
and ETH Zurich (where i studied) measured it: 27% of 108,667 swaps over $30K had a better path
S/O to @PropellerSwap on implementing this with Fynd InBlock this S/O @InnitGoldie for sharing this with me
Some time ago, I came across research from ETH Zürich showing that 27% of 108,667 large Ethereum swaps were executed at suboptimal prices.
Researchers analyzed swaps over $30K and found that better routing could have saved nearly 30,000 trades at least $30.
Here are 5 things I learned ↓
1️⃣ A direct swap doesn't always give you the most tokens
Let's say you're swapping $ETH for $USDC.
You have several options:
• Swap directly through an ETH/USDC pool
• Route through ETH → USDT → USDC
• Split your order across several liquidity pools
Each option has different liquidity, price impact, and gas costs.
The ETH Zürich study found that optimizable trades could have received an average of 0.15% more through better routing.
For a $100,000 swap, that's an extra $150. This is exactly why DEX routers exist.
Fynd, for example, is the router @PropellerSwap built to find the best swap routes across liquidity pools.
But finding the best route is only half the problem.
2️⃣ Your swap route can become outdated before it executes
Here's something most DeFi users don't realize.
When you request a swap, the router calculates a route based on current liquidity and prices. You approve the tx, sign it, and wait for it to execute onchain.
That process can take a fraction of a second or stretch into tens of seconds.
During that time:
• Another trader can move prices in your chosen pool
• Liquidity providers can withdraw funds
• Arbitrageurs can eliminate price differences
• Market makers can update their quotes
So the route that looked optimal when you signed might be significantly worse when your transaction actually executes.
A perfectly calculated quote can become outdated within milliseconds.
3️⃣ Integrated route optimization
This was the most interesting part of my research.
Most traditional routers calculate execution paths before transactions are submitted, and some prepare alternative routes or fallback options in case conditions change.
These approaches still have limitations, and newer alternatives are emerging:
Fynd InBlock is one of them. Instead of relying on routes calculated beforehand, it lets block builders run an entirely new route search immediately before the tx executes.
• You submit a swap with an initial route
• The block builder processes preceding transactions
• Fynd, running inside the block builder, searches for a better route using the updated pool states
• If a better route exists, it can replace the original
It's essentially performing a fresh search based on the liquidity available at your exact position inside the block.
4️⃣ What if there's no optimal route?
Imagine swapping $50,000 in $ETH for $USDC.
Your original route uses Pool A, but another trader moves its price before your transaction executes.
Pool B now offers a better deal.
Instead of sticking with the outdated route, Fynd InBlock can discover Pool B and switch before execution.
If no better route exists, your trade uses the original route, subject to the same minimum output requirement.
5️⃣ Beyond DEX aggregators
Better execution benefits the entire trading infrastructure:
• Wallets can offer more reliable swaps
• Trading terminals can reduce failed transactions and slippage
• Aggregators can compete on actual execution quality
• Block builders can earn revenue from improving routes
The ETH Zürich research showed how much value inefficient routing leaves on the table.
My prediction is that the next moat in DEX execution isn't finding the best route faster, but rather finding the best route at the exact moment your trade executes.
If you want to read more about how Fynd InBlock works, start here:
docs.fynd.xyz/get-started/fy…
great read 👀.
trying out Fynd by @PropellerSwap to run my own router locally....will share numbers
i am always interested to understand how actually a DEX routing actually works (and why 1 in 4 big swaps gets a worse price than it could have)
> price isn't a number, it's the slope of that curve where you are
> a big trade slides down the curve, so every extra token costs more
> that's why one big swap in one pool is almost never optimal
> an AMM pool is just a curve: x * y = k
> the fix: split across pools until the last token costs the same everywhere
> add multi-hop paths (USDC→DAI→ETH) and it becomes a graph problem
> routers solve that graph off a snapshot of reserves from block N
> your tx lands at index i of block N+k, and every tx before it moved the curves
> so the "optimal" split was optimal for a state that no longer exists
> minOut caps the downside, it doesn't make the stale route optimal again
> the fix is to re-route inside the block, at the exact index your tx lands, on the state it actually settles against
and ETH Zurich (where i studied) measured it: 27% of 108,667 swaps over $30K had a better path
S/O to @PropellerSwap on implementing this with Fynd InBlock this S/O @InnitGoldie for sharing this with me
I lived in Mumbai for almost five years, I believe these evergreen things locals would potentially do in BOMBAY during @IBWofficial @SolanaSummitOrg @EFDevcon and @ETHGlobal week
1, CAFE MADRAS or RAMASHYRAY in matunga for early morning breakfast,
what to eat: just tell the waiter, bring me what you think is best..and filter kappi (coffee)
Save this, and DM me t.me/innitforthetech or @dopamynAI if you’re in town Nov 1–8. Happy to point you to more spots 🫡














