Lucknow DAO

On-ground builders ecosystem in North India 🇮🇳
Focused on Web3, onchain & ecosystem growth
Meetups • Builder discussions • Collaborations

[Lucknow DAO @Lucknow_DAO]

That's a wrap!

Road to Devcon VIII India Lucknow Edition brought together an incredible community of builders, developers, founders and students.

Thank you for making it memorable.

@lucknow_DAO @EFDevcon @geodelabs

[Suraj Sharma @suraj_sharma14]

If I had 6 months to become a Forward Deployed Engineer.

I'd do this.

Stage 1: Full-Stack and API Foundations
Python or TypeScript, FastAPI, async, webhooks, REST/GraphQL, error handling, third-party SDKs.

Stage 2: Enterprise Integrations
OAuth2, SAML, SSO, SCIM, Salesforce/Slack/HubSpot APIs, webhook verification, retry logic.

Stage 3: Multi-Tenancy and Data Isolation
Row-level security, tenant identifiers, per-tenant databases vs schemas, data partitioning.

Stage 4: Security and Compliance
SOC 2, GDPR, HIPAA basics, PII redaction, encryption at rest and in transit, audit logging.

Stage 5: AI on Customer Data
Secure RAG ingestion, per-document access control, citation tracking, permission filtering.

Stage 6: Agents and MCP in the Customer Stack
Expose customer systems as MCP tools, human-in-the-loop gates, agent workflows over real SOPs.

Stage 7: Deployment Automation
Docker, Kubernetes, Helm, CI/CD, infrastructure as code, one-click customer environments.

Stage 8: Observability and Customer Dashboards
Distributed tracing, AI quality metrics, usage analytics, SLA monitoring, customer health pages.

Stage 9: Incident Management
Production debugging, rollback strategies, post-mortems, customer communication during outages.

Stage 10: Discovery and Requirements Translation
Stakeholder interviews, business-to-technical specs, expectation management, scoping.

Stage 11: Adoption, Expansion and ROI Proof
Usage analysis, adoption tracking, expansion signals, churn reduction, ROI reporting.

Stage 12: Portfolio and Case Studies
Documented deployments, implementation guides, integration patterns, published success metrics.

The role between engineering and revenue. The one that ships AI inside real enterprises.

Most people stay stuck watching tutorials.

Builders get hired.

(Bookmark it)

[Suraj Sharma @suraj_sharma14]

20 tasks for Claude before you ship an AI feature

- Eval set with 50 golden prompts
- Failure cases (empty, jailbreak, multilingual)
- Latency budget (p50 / p95)
- Cost per successful request
- Token/cost caps per user
- Rate limits + abuse controls
- Prompt versioning + rollback
- Structured outputs / schema validation
- Tool allowlist + timeouts
- PII redaction before logs
- Prompt injection tests on tool I/O
- Hallucination / citation checks
- Fallback model path
- Streaming + reconnect handling
- Tracing (prompt, tools, cost, errors)
- Human review for irreversible actions
- Kill switch / feature flag
- Model changelog notes
- Support macros for common failures
- One clear “AI did this” UX disclosure

Ship fast but don’t let a clever demo become an incident.

[Suraj Sharma @suraj_sharma14]

5,000+ researchers.
150+ countries.
$0 application fee.

@Cohere_Labs just left the door open to their Open Science Community.

Applications are reviewed every week.

What you get:
• Collaborate on real open-science ML projects
• Exclusive events with researchers worldwide
• 18 community-led programs (multilingual AI, safety, evals and more)
• 425+ virtual events already hosted
• A global network that actually ships papers not just Discord vibes

Who it’s for:
Researchers, engineers, students, indie builders, linguists if you care about open-weights + transparent research, you’re the audience.

Apply here → https://t.co/Cc1cHKM9VP

[Lucknow DAO @Lucknow_DAO]

@elian_mcc @jointhebridge Honestly, I gave up knowing what my next 2 years would look like.

[Suraj Sharma @suraj_sharma14]

What to Build in DeFi: Ideas for 2026

➣ An intent layer that finds the best route across chains. Users say the outcome. You fight the path.

➣ Onchain credit that doesn’t pretend everyone is a whale. Underwrite behavior not just collateral.

➣ A vault that explains the risk in one screen. APY without the risk line is how people get wrecked.

➣ Perps UX that feels like a product not a terminal. Size, liquidation, fees readable before they click.

➣ RWA yield with a real redemption path. Tokenizing paper is easy. Getting cash out is the product.

➣ An agent that farms, rebalances and stops itself. Autonomy with a kill switch.

➣ Prediction markets for things people already argue about. Shipping, weather, protocol upgrades not only elections.

➣ A wallet that shows net PnL not just tokens. If they can’t see if they’re winning, they leave.

➣ Liquidity for long-tail assets after the points season dies. Incentives that stay.

➣ Compliance-ready rails for funds that want onchain. The next TVL is not crypto-native. It’s someone who needs an audit trail.

Most people will fork a DEX.
Builders will pick one painful job and own it.

[Suraj Sharma @suraj_sharma14]

Three months ago this felt impossible.

Just hit 15K followers.

Grateful you’re here.

[Suraj Sharma @suraj_sharma14]

Fully funded 5 months in Berkeley. 80%+ placement into top AI safety labs.

Constellation’s Astra Fellowship is accepting expressions of interest to fast-track builders into high-impact AI safety roles.

What you get:
→ $8,400/month stipend + ~$15K/month compute budget
→ Two tracks: Empirical (ML safety, alignment, evals) or Strategy & Governance (policy, forecasting, risk)
→ Weekly mentorship from Redwood, Anthropic, OpenAI, DeepMind and UK AISI
→ Visa support, research management and direct placement services
→ Access to Berkeley’s AI safety hub (300+ weekly visitors, seminars, workshops)

Who should apply:
→ Motivated to reduce catastrophic risks from advanced AI
→ Strong technical or policy/governance background (no prior AI safety experience required)
→ Ready for full-time safety work or new initiatives

If you want resources, mentorship & a proven pipeline to break into AI safety this is it.

register interest: https://t.co/s1FKZAOHpW

[Lucknow DAO @Lucknow_DAO]

@IBTxOfficial

[India Blockchain Tour (IBT) | Metamorphosis 2026 @IBTxOfficial]

Web3 isn't only metros. Lucknow already knew that.

@Lucknow_DAO = Community Partner for #IBT26.

Tier-2 isn't "emerging." It's already here.

[Lucknow DAO @Lucknow_DAO]

Happy Ganesh Chaturthi

[Suraj Sharma @suraj_sharma14]

$1M base for AI talent. This one deserves attention.

[Suraj Sharma @suraj_sharma14]

If I had 6 months to become an AI Infrastructure Engineer.

I'd do this.

Stage 1: Linux, Networking, and Python Foundations
Linux, bash, SSH, TCP/HTTP, DNS, Python, async programming, systemd.

Stage 2: Containers and Orchestration
Docker, Kubernetes, Helm, GPU scheduling, resource limits, multi-node clusters.

Stage 3: GPU Fundamentals
CUDA basics, nvidia-smi, VRAM math, NVLink and InfiniBand, MIG partitioning.

Stage 4: Model Serving
vLLM, SGLang, TGI, continuous batching, KV cache management, quantization (AWQ, FP8).

Stage 5: Inference Optimization
Speculative decoding, prefix caching, chunked prefill, TensorRT-LLM, Triton kernels.

Stage 6: Model Distribution and Storage
Weight sharding, safetensors, model registries, CDN for weights, lazy loading.

Stage 7: GPU Autoscaling
KEDA, queue-based scaling, cold start mitigation, spot instances, multi-region failover.

Stage 8: Training Infrastructure
Ray and Slurm, FSDP and tensor parallelism, checkpointing, fault tolerance, gradient accumulation.

Stage 9: AI Gateway Layer
Routing, load balancing, fallback chains, rate limiting, per-tenant token budgets.

Stage 10: Observability and FinOps
GPU utilization (DCGM), TTFT and ITL metrics, cost per token, tenant dashboards, alerting.

Stage 11: Security and Multi-Tenancy
Tenant isolation, secrets management, sandboxed execution, audit logs, compliance controls.

Stage 12: Portfolio and Public Benchmarks
Ship a self-hosted inference cluster, publish latency and cost benchmarks, write architecture teardowns.

Most people stay stuck watching tutorials.

Builders get hired.

(Bookmark it)

[Suraj Sharma @suraj_sharma14]

tools solo founders actually use https://t.co/Jgsa2Pb9m1

[Lucknow DAO @Lucknow_DAO]

go apply.

[Suraj Sharma @suraj_sharma14]

One of the biggest blockchain hackathons of 2026 is approaching.

Crypto World’s Fair unites builders and founders across multiple ecosystems to launch breakout startups.

Supported ecosystems:
→ Solana
→ Ethereum
→ Hyperliquid
→ Base
→ Arbitrum
→ Zcash
→ Robinhood Chain

September 14 – October 12, 2026
Builders in crypto should watch this.

Link: https://t.co/CRTiElHh94

[Suraj Sharma @suraj_sharma14]

Ok GPT-6 Astra is insane.

People can't stop building.

10 wild examples builders are shipping this week. 👇

[Suraj Sharma @suraj_sharma14]

https://t.co/RimcjUlj0g is free??? How are they even doing this? What a tool. 🔥

[Suraj Sharma @suraj_sharma14]

CANCEL your weekend plans.

You NEED to:

• Build a dynamic context assembler that budgets tokens per request
• Ship an MCP server so external agents can call your product's APIs
• Add A2A handoffs with typed state, never raw text
• Finish one real back-office task with a computer-use agent, end-to-end
• Sandbox every tool call with per-agent least privilege
• Fuzz your own agents for inter-agent prompt injection
• Grade trajectories not final answers; block PRs on regression
• Set a reasoning-effort budget so easy queries don't burn thinking tokens
• Route across 3 model tiers and log the quality delta per tier
• Ship semantic caching and track hit rate; every hit costs $0
• Build working + episodic + semantic memory with eviction policies
• Checkpoint long-running workflows so crashes resume not restart
• Add cost kill-switches per user, per tenant, per agent
• Ship a voice agent with interruption handling under 1s latency
• Turn production failures into a golden dataset automatically
• Run coding agents with stacked PRs and mandatory human review
• Trace every LLM hop with OpenTelemetry-style spans
• Publish one public benchmark: your agent vs the naive baseline

You have way too much to do.

Bookmark & Repost.

[Shantanu Sharma @Shaanush]

🔆 PARTNERSHIP ANNOUNCEMENT

✳️ 𝗟𝘂𝗰𝗸𝗻𝗼𝘄 𝗗𝗔𝗢 𝗶𝘀 𝗥𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗥𝘂𝗻.

@Lucknow_DAO is a Lucknow-based #Web3 ecosystem connecting builders, developers, founders, & enthusiasts through meetups, workshops, & hackathons - 1,000+ members, 50+ partners, & 30+ events strong. They collaborate with ecosystems like @ethereum , @solana , @avax , @monad , @Starknet , & @ArweaveEco to expand regional opportunities.

Welcome to the Run, team Lucknow DAO& @suraj_sharma14

#GetReady #ReadyForTheRun @raajeevanand @CryptoKid49

[Suraj Sharma @suraj_sharma14]

𝗚𝗘𝗧 𝗔 𝗦𝗣𝗢𝗡𝗦𝗢𝗥𝗘𝗗 𝗧𝗥𝗜𝗣 𝗧𝗢 𝗦𝗜𝗡𝗚𝗔𝗣𝗢𝗥𝗘 𝗧𝗢 𝗗𝗘𝗠𝗢 𝗬𝗢𝗨𝗥 𝗔𝗜 𝗕𝗨𝗜𝗟𝗗.

Google Cloud AI Builder Cup just opened JAPAC-only, working professionals only.

- Build a working prototype on Google Cloud (Sept 7-Oct 3)
- Submit by Oct 4 • Top teams fly to Singapore for live Demo Day (Dec 4)
- $30K prize pool • 2 team members sponsored per shortlisted team

Students not eligible. Builders only.

If you ship real AI for real problems this is your stage.

register: https://t.co/8Lbkx2lTbX

[Lucknow DAO @Lucknow_DAO]

let's go.

[Shantanu Sharma @Shaanush]

🔆 PARTNERSHIP ANNOUNCEMENT

✳️ 𝗟𝘂𝗰𝗸𝗻𝗼𝘄 𝗗𝗔𝗢 𝗶𝘀 𝗥𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗥𝘂𝗻.

@Lucknow_DAO is a Lucknow-based #Web3 ecosystem connecting builders, developers, founders, & enthusiasts through meetups, workshops, & hackathons - 1,000+ members, 50+ partners, & 30+ events strong. They collaborate with ecosystems like @ethereum , @solana , @avax , @monad , @Starknet , & @ArweaveEco to expand regional opportunities.

Welcome to the Run, team Lucknow DAO& @suraj_sharma14

#GetReady #ReadyForTheRun @raajeevanand @CryptoKid49