SEOStrive
Data-led SEO for businesses that want to be found: audits, technical and on-page work, content and clear reporting.
- SEO audits
- Technical SEO
- Reporting
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):
function build(game) {
class Agent(nn.Module):
// measure, then build
for (const q of queries) {
}
return self.policy(x)
export default lab;
}
{ "status": "building" }
import { Lab } from "lab-241";
await lab.research.train(model);
SELECT * FROM ideas WHERE ready;
while (learning) { iterate(); }
metrics.push({ loss, reward });
return [run(t) for t in tasks]
prototype(game).playtest();
def forward(self, x):
try { await ship(); } catch (e) {}
rank(page, q).improve();
npm run build && deploy
const rank = await seo.audit(url);
const lab = new Lab241();
git commit -m "ship it"
if (score > best) save(run);
lab.games.launch({ original: true });
def evaluate(model, tasks):Lab-241 · AI research
Research, games and growth, built in one lab.
Lab-241 is an independent AI research and product lab. We study how intelligent systems learn, build games and tools that put the research to work, and run SEOStrive, our search growth brand.
lab241.js
const lab = { name: "Lab-241", research: "applied AI", games: "original, in-house", seo: "SEOStrive", status: "building",};// ship what we learnlab.build();
- 3Focus areas
- 2Brands
- OpenResearch mindset
- RemoteIndependent lab
Featured brands
Two brands, one lab.
Game Studio
Our own worlds and mechanics, built by hand and shaped by what our AI research teaches us about play and balance.
- Original IP
- Research-driven
- AI playtesting
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