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 💎 WEB3MAN.exe [@sergey_tutoov](/creator/twitter/sergey_tutoov) on x XXX followers
Created: 2025-07-23 15:40:04 UTC
{ JAM’S ROADMAP: FROM V0.7 TO POLKADOT XXX IN X STEPS }
Testnets, SDKs, Kusama, audits and the big-bang relay chain swap -get the full story
You’ve heard the buzz: JAM is Polkadot’s “mostly-coherent trustless supercomputer (and bla-bla),” and it’s leveling up fast
If you’ve ever built an app, you know that going from “hey, this kinda works” to “OMG, millions of users!” takes a roadmap
here’s JAM’s - broken into five degen-friendly steps 😊
✧ Step 1: v0.8 → service prototyping & final tweaks
it is:
→ Service prototyping means turning rough ideas into actual, running code on JAM.
→ Final tweaks polish performance, iron out bugs, and lock down security
You go from “I think this could work🤨” to “Oh ssh_t, it actually works!”
Developers can spin up mini-apps (services) and see real results in minutes
Simple life example
Think of v0.7 as a homemade go-kart you built in your garage
You know it rolls, but the steering wobbles and the brakes squeak
v0.8 is you test-driving that go-kart on a closed track, adding shock absorbers, tightening bolts, and tuning the engine until it’s as smooth as a new Tesla.
💎. . Key geek notes
- Services run under Refine/Accumulate model: heavy lifting off-chain, final state on-chain
- Runtime APIs get locked: no more “surprises” between blocks
- Security audits ramp up: external firms poke and prod every line of code
✧ Step 2: SDK → easy Refine/Accumulate libraries
A Software Development Kit (SDK) provides pre-built tools and templates so you don’t write everything from scratch
JAM’s SDK wraps the Refine/Accumulate pattern into simple functions
👉🏻 New devs can deploy services without mastering low-level runtime details
Speeds up onboarding: go from “Hello, world!” to “Hello, testnet!” in minutes
SDKs are like IKEA flat-pack furniture kits
Instead of buying raw lumber, saws, and screws, you get pre-cut planks, labeled bags of hardware, and an illustrated manual. Even a furniture-noob can build a chair that doesn’t wobble
✍🏻notes
refine() calls package your heavy compute tasks off-chain
accumulate() updates state on-chain in a single, atomic commit
💡 batch-mint NFTs off-chain, then commit token IDs and URIs in one block.
✧ Step 3: Metrics → multi-client benchmarks & nn-chain tracking
Multi-client benchmarks measure performance across different node implementations (Rust, Go, etc.)
On-chain tracking logs JAM service stats directly on Polkadot’s relay chain
❓ Why it matters
Transparency: anyone can verify TPS (transactions per second), latency, storage usage
Healthy competition: clients compete to be fastest and leanest.
👉🏻 Imagine testing three cars (sedan, SUV, sports car) on the same racetrack
You record lap times, fuel efficiency, and tire wear
Then you upload all that data - on-track and live - to an open leaderboard so fans can see who’s king of the hill
✍🏻 Key geek notes
- Benchmark scripts run standard workloads: data availability, CPU-heavy tasks, network I/O
- On-chain dashboard reveals:
> TPS spikes during service deploys
> Block times before vs. after async backing
> Storage growth as your app logs user data
✧ Step 4: Testnets → public JAM testnet → Kusama launch
it is:
→ A public JAM testnet opens JAM to everyone - builders, auditors, curious degen devs
→ Kusama launch/“chaosnet” means JAM becomes a full Polkadot parachain on Kusama for real-world stress tests
❓ Why it matters
→ Broader feedback: thousands of devs catch edge-case bugs you never dreamed of
→ Public incentives: bug bounties, hackathons, grant programs light up the ecosystem
Simple life example
👉🏻 Think of the public JAM testnet as a beta release of a new video game
Everyone downloads it, reports glitches, and finds that one wall-clipping bug. Then the “Kusama” phase is like the official early access: players stream it on Twitch, mobs jump on glitches, and the dev team patches in real time
> Testnet tokens have zero real-world value; perfect for experimenting with coretime markets
> Kusama auctions let projects bid for JAM slots using real KSM tokens - skin in the game
> Continuous deployment: runtime changes ship without downtime, thanks to async backing
✧ Step 5: v1.0 → Polkadot Relay Chain swap (DOT stays!)
JAM “swaps in” as Polkadot’s new relay chain engine - Polkadot XXX demand met
💙 $DOT tokens remain the same; your staking, governance, and history carry over seamlessly
all Polkadot parachains instantly gain JAM’s supercomputer powers
Zero downtime: live switch-over - no hard fork, no lost state, no angry tweets about downtime
itts like upgrading an old highway to a smart, multi-lane superhighway while traffic keeps flowing
You don’t bulldoze the existing road; you just add smart sensors, extra lanes, and dynamic toll pricing - all on the fly. By morning commute, everything is faster and smoother, and no one’s clogged up in traffic
✍🏻✍🏻✍🏻
Elastic scaling: block capacity goes up or down based on demand - goodbye congested “rush hour” chains
Async backing: validators juggle multiple block builds in parallel - blocks final in as little as X seconds
Coretime markets: teams rent extra CPU/memory by the hour, paying only for what they use
✧ From Garage Prototypes to Public Launch
Building on JAM is like cooking a brand-new recipe for your friends:
1️⃣ v0.7 (Kitchen Chaos): You throw ingredients into a pot. It sorta tastes like soup - edible, but kinda weird
2️⃣ v0.8 (Test-Kitchen): You taste, adjust seasoning, decide which veggies to chop finer, and tweak cooking times
3️⃣ SDK (Recipe Card): You write down the steps in a simple recipe card. Now your roommate can follow it without burning down the kitchen.
4️⃣ Metrics (Cooking Show Stats): You record temperature logs, cooking times, and crowd ratings. Everyone sees how tasty your soup really got
5️⃣ Testnets (Friends’ Taste Test): You invite XXX friends over for a free sampling. They yak about what they liked, what was too salty🥴, or what needed more spice
6️⃣ v1.0 (Food Truck Launch): You roll out the final, perfected soup from a food truck on Main Street - no glitches, customers line up, and you accept payment without missing a beat
By the time you flip the Polkadot switch, your “soup” is a Michelin-star dish served at scale
🧐 What’s Next - And Why You Should Care
For builders: JAM’s roadmap slashes dev friction and super-charges performance. You can prototype, iterate, and launch faster than ever
For users: ultra-low fees, near-instant finality, and new dApps that “just work” even under peak load
For the ecosystem: a unified supercomputer that ties every parachain together, making composability real
Which phase are you most hyped to test?
Drop your pick below and let’s debate which step will make you rage-quit slower chains! 😉
XXX engagements
**Related Topics**
[kusama](/topic/kusama)
[roadmap](/topic/roadmap)
[$xwp](/topic/$xwp)
[Post Link](https://x.com/sergey_tutoov/status/1948045458846191919)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
💎 WEB3MAN.exe @sergey_tutoov on x XXX followers
Created: 2025-07-23 15:40:04 UTC
{ JAM’S ROADMAP: FROM V0.7 TO POLKADOT XXX IN X STEPS }
Testnets, SDKs, Kusama, audits and the big-bang relay chain swap -get the full story
You’ve heard the buzz: JAM is Polkadot’s “mostly-coherent trustless supercomputer (and bla-bla),” and it’s leveling up fast
If you’ve ever built an app, you know that going from “hey, this kinda works” to “OMG, millions of users!” takes a roadmap
here’s JAM’s - broken into five degen-friendly steps 😊
✧ Step 1: v0.8 → service prototyping & final tweaks
it is: → Service prototyping means turning rough ideas into actual, running code on JAM. → Final tweaks polish performance, iron out bugs, and lock down security
You go from “I think this could work🤨” to “Oh ssh_t, it actually works!”
Developers can spin up mini-apps (services) and see real results in minutes
Simple life example Think of v0.7 as a homemade go-kart you built in your garage You know it rolls, but the steering wobbles and the brakes squeak v0.8 is you test-driving that go-kart on a closed track, adding shock absorbers, tightening bolts, and tuning the engine until it’s as smooth as a new Tesla.
💎. . Key geek notes
- Services run under Refine/Accumulate model: heavy lifting off-chain, final state on-chain
- Runtime APIs get locked: no more “surprises” between blocks
- Security audits ramp up: external firms poke and prod every line of code
✧ Step 2: SDK → easy Refine/Accumulate libraries
A Software Development Kit (SDK) provides pre-built tools and templates so you don’t write everything from scratch
JAM’s SDK wraps the Refine/Accumulate pattern into simple functions
👉🏻 New devs can deploy services without mastering low-level runtime details
Speeds up onboarding: go from “Hello, world!” to “Hello, testnet!” in minutes
SDKs are like IKEA flat-pack furniture kits Instead of buying raw lumber, saws, and screws, you get pre-cut planks, labeled bags of hardware, and an illustrated manual. Even a furniture-noob can build a chair that doesn’t wobble
✍🏻notes refine() calls package your heavy compute tasks off-chain accumulate() updates state on-chain in a single, atomic commit 💡 batch-mint NFTs off-chain, then commit token IDs and URIs in one block.
✧ Step 3: Metrics → multi-client benchmarks & nn-chain tracking
Multi-client benchmarks measure performance across different node implementations (Rust, Go, etc.)
On-chain tracking logs JAM service stats directly on Polkadot’s relay chain
❓ Why it matters Transparency: anyone can verify TPS (transactions per second), latency, storage usage Healthy competition: clients compete to be fastest and leanest.
👉🏻 Imagine testing three cars (sedan, SUV, sports car) on the same racetrack
You record lap times, fuel efficiency, and tire wear
Then you upload all that data - on-track and live - to an open leaderboard so fans can see who’s king of the hill
✍🏻 Key geek notes
- Benchmark scripts run standard workloads: data availability, CPU-heavy tasks, network I/O
- On-chain dashboard reveals:
TPS spikes during service deploys Block times before vs. after async backing Storage growth as your app logs user data
✧ Step 4: Testnets → public JAM testnet → Kusama launch
it is: → A public JAM testnet opens JAM to everyone - builders, auditors, curious degen devs → Kusama launch/“chaosnet” means JAM becomes a full Polkadot parachain on Kusama for real-world stress tests
❓ Why it matters → Broader feedback: thousands of devs catch edge-case bugs you never dreamed of → Public incentives: bug bounties, hackathons, grant programs light up the ecosystem
Simple life example 👉🏻 Think of the public JAM testnet as a beta release of a new video game Everyone downloads it, reports glitches, and finds that one wall-clipping bug. Then the “Kusama” phase is like the official early access: players stream it on Twitch, mobs jump on glitches, and the dev team patches in real time
Testnet tokens have zero real-world value; perfect for experimenting with coretime markets Kusama auctions let projects bid for JAM slots using real KSM tokens - skin in the game Continuous deployment: runtime changes ship without downtime, thanks to async backing
✧ Step 5: v1.0 → Polkadot Relay Chain swap (DOT stays!)
JAM “swaps in” as Polkadot’s new relay chain engine - Polkadot XXX demand met
💙 $DOT tokens remain the same; your staking, governance, and history carry over seamlessly
all Polkadot parachains instantly gain JAM’s supercomputer powers
Zero downtime: live switch-over - no hard fork, no lost state, no angry tweets about downtime
itts like upgrading an old highway to a smart, multi-lane superhighway while traffic keeps flowing You don’t bulldoze the existing road; you just add smart sensors, extra lanes, and dynamic toll pricing - all on the fly. By morning commute, everything is faster and smoother, and no one’s clogged up in traffic
✍🏻✍🏻✍🏻 Elastic scaling: block capacity goes up or down based on demand - goodbye congested “rush hour” chains Async backing: validators juggle multiple block builds in parallel - blocks final in as little as X seconds Coretime markets: teams rent extra CPU/memory by the hour, paying only for what they use
✧ From Garage Prototypes to Public Launch
Building on JAM is like cooking a brand-new recipe for your friends:
1️⃣ v0.7 (Kitchen Chaos): You throw ingredients into a pot. It sorta tastes like soup - edible, but kinda weird
2️⃣ v0.8 (Test-Kitchen): You taste, adjust seasoning, decide which veggies to chop finer, and tweak cooking times
3️⃣ SDK (Recipe Card): You write down the steps in a simple recipe card. Now your roommate can follow it without burning down the kitchen.
4️⃣ Metrics (Cooking Show Stats): You record temperature logs, cooking times, and crowd ratings. Everyone sees how tasty your soup really got
5️⃣ Testnets (Friends’ Taste Test): You invite XXX friends over for a free sampling. They yak about what they liked, what was too salty🥴, or what needed more spice
6️⃣ v1.0 (Food Truck Launch): You roll out the final, perfected soup from a food truck on Main Street - no glitches, customers line up, and you accept payment without missing a beat
By the time you flip the Polkadot switch, your “soup” is a Michelin-star dish served at scale
🧐 What’s Next - And Why You Should Care
For builders: JAM’s roadmap slashes dev friction and super-charges performance. You can prototype, iterate, and launch faster than ever
For users: ultra-low fees, near-instant finality, and new dApps that “just work” even under peak load
For the ecosystem: a unified supercomputer that ties every parachain together, making composability real
Which phase are you most hyped to test? Drop your pick below and let’s debate which step will make you rage-quit slower chains! 😉
XXX engagements
