The situation
Chart Prime LLC is a US-based company that sells trading strategies to customers worldwide via subscription. Based on its market experience, the next step was to give subscribers a place to act on those strategies: a trading platform for Solana meme coins.
A meme-coin platform lives or dies on three things that ordinary trading products can treat as details. Coverage, because new tokens launch on Solana all day, and a platform that lists only some of them is out of date before it opens. Price, because in a market moving this fast, a price a few seconds old is the wrong price. Speed, because a buy or a sell that hangs is the moment a user stops trusting the platform. All three pull on the same systems at the same time.
Nothing existed yet. No token index. No price feed. No trading engine. The platform had to be built from scratch, and it had to feel fast from the first trade.
A trader who has to wait does not wait long. They leave.
What Discovery found
Discovery ran the standard two weeks. Its job was to find the parts of this build that would decide whether anyone trusted it. Four findings mattered:
- The token list is a moving target. Today's token list is out of date by tonight. The platform had to list every token on Solana and add new launches as they happened. Anything less is a partial market, and traders notice.
- Fresh prices are the product. Traders act on whatever number the screen shows. If that number is stale, every trade made on it is a bad trade. We had to design price updates into the core, not add them at the end.
- Speed without safety is a gift to bots. A fast trade is not much use if a bot can see it coming and get in front of it — the industry calls this Maximal Extractable Value, or MEV. Fast execution and MEV protection had to be one design, not two.
- The platform would belong to Chart Prime. Once their team tested and confirmed it, they would run it. Everything we built had to hold up in their hands, not ours.
Discovery output: a scoped plan for the ten-week build, organized around those four findings. Coverage, price, speed, and safety were written into the plan before any code existed. Nothing that mattered was left for the last sprint.
What we built
Weeks 1–2 — Discovery
The plan described above. No code. Its only job was to make sure the ten weeks that followed went to the problems that decide whether a trader stays.
Weeks 3–12 — Build
Five connected pieces, built on React, FastAPI, PostgreSQL, and Solana Web3 tooling:
- Token listing. Every token on Solana, on the platform. Not a curated shortlist.
- New-launch updates. New tokens are picked up and listed as they appear, not on the next refresh.
- Live pricing. Prices across the platform stay fresh, so traders act on the numbers the market is showing.
- Fast trade execution. Buys and sells go through fast enough that the trader does not feel the wait.
- MEV protection. Trades are shielded from bots that try to see them coming and get in front of them.
Behind all five sits order management: every buy and every sell, handled correctly. A fast platform that loses an order is not fast.
What happened at handoff
The platform works correctly. Prices are fresh. Trades are fast. Users trade the way they want to, with low trading fees. Chart Prime's team ran the testing and confirmed the platform. Then we handed it over.
"GRTC delivered a fully functional trading platform on Solana that exceeded our expectations. It has been really great working with them."
What we did not do
- We did not run the platform after handoff. Once Chart Prime confirmed testing, the platform was theirs to operate. That was agreed in Discovery, not decided at the end.
- We did not build a partial market. Listing only established tokens would have been easier. It would also have put the platform out of date on day one.
- We did not treat speed as polish. Fast execution and MEV protection were in the plan from Discovery. Speed that gets tuned in the final week is speed the users never get.
- We did not publish numbers we do not have. The platform was judged on transaction speed, order handling, and price freshness. When we created this case study, we were not provided with any measured figures, so none appear here.
Numbers we can share
| Discovery duration | 2 weeks |
|---|---|
| Build duration | 10 weeks |
| Blockchain | Solana |
| Stack | React, FastAPI, PostgreSQL, Solana Web3 tooling |
| Core capabilities built | 5 (token listing, new-launch updates, live pricing, fast trade execution, MEV protection), plus order management |
| What the platform was judged on | Transaction speed, order management, token price freshness |
| Testing | Run and confirmed by Chart Prime |
| Post-handoff GRTC involvement | None. Chart Prime operates the platform. |
Numbers we do not have yet: transaction times, price-update speed, order accuracy, trading fees, trading volumes, and user counts. Not published: contract value.
The pattern this case study represents
Trading platforms for newly launched tokens usually go wrong in one of three ways: the token list is built as a snapshot, so new launches show up late or not at all; prices are fetched on a schedule built for slower markets, so traders act on numbers that are already stale; or speed is left as polish for the end of the build, and bots reach the trade before the trader does.
The right shape treats coverage, price, and speed as the product, not as features. Name them in Discovery. Build them from the first week. Protect the trade, not just the screen.
Chart Prime's engagement worked because we named the three hardest problems in week one, and spent every week after that solving them.