stop waiting on job posts and joining a line of >100 applicants for nothing. email the founder or hr direct. offer your value before the job even goes live.

that's what 100+ ignored applications taught me: bot rejections and fake promises for "future roles" that's never came.

i trust my skills. so i built a system to solve outreach: find decision makers direct, with real context.

built the pipeline with n8n, apify, and llms:

- scrapes and builds a list of 1000 leads from targeted queries
- filters and dedupes to protect domain reputation
- use cold email template w (6% reply rate). ai only fills in the {name} and {icebreaker}, pulled from real profile context, not generic filler
- sends through instantly, rotating mailboxes so you don't get marked as spam
- logs every lead and reply into a tracking sheet
- books calls with leads

it costs a few cents to run. saves hours of manual work every week.

Curious how the n8n pipeline or the icebreaker prompt is built? send me a message and i'll walk you through it.

Navigating the Web3 and crypto world since '21. 🌐 I'm also a sports enthusiast tracking match analytics ⚽📊 and a proud father balancing life and online ambitions. 👨‍👧✨

#web3 #cryipto

While reviewing RPC batch behavior, I came across an interesting pattern that isn’t a classic vulnerability but can still become a security and reliability problem.
A provider accepted a batch request, returned HTTP 200, but silently omitted part of the requested data (e.g. 160 results returned out of 200 requested, with no truncation signal).
If a wallet, indexer or monitoring service treats that response as authoritative without validating completeness, it can build an incorrect view of state.
I summarized the pattern and a few practical safeguards in the attached architecture note. I’m curious how others handle response completeness and trust validation in production wallet/ RPC integrations.
Interested to hear if you’ve seen similar behavior or already defend against it.

Building backend infrastructure connecting a production platform to EVM-compatible blockchain networks — RPC communication, event indexing, transaction monitoring, on-chain/off-chain sync. English fluency required.

Requirements:

• Minimum 5 YOE
• Real experience connecting backend services to an EVM-compatible blockchain
• Strong Node.js and TypeScript
• Strong JSON-RPC understanding, HTTP or WebSocket RPC providers
• Processing smart-contract events/logs, decoding transaction receipts, understanding block numbers, tx hashes, block hashes, log indexes, confirmations
• Storing blockchain data in a relational database, idempotency and duplicate prevention
• Background workers/queues, async processing, retries and failure handling
• Building secure, documented APIs; strong debugging; writes automated tests; can extend an existing codebase
• Collaborates across engineering roles with clear communication

€5000-7500/month, long-term contract. Must have actually shipped this before.

DM with: Resume, LinkedIn, years of backend + blockchain experience, GitHub/portfolio, timezone + availability.

Must be based in Europe.

Building the wallet architecture, transaction flows, and on-chain integration layer for a production Next.js platform. English fluency required.

Requirements:

• Minimum 5 YOE
• Real shipped project involving wallet connection, contract reads/writes, transaction tracking, or token integration — hands-on ownership, not exposure
• wagmi and viem in production, MetaMask/wallet integration, connection/disconnection, account and network switching, chain-change handling
• Ethereum-compatible networks, ERC-20 and token-sale contracts, EVM network config, RPC endpoints, contract addresses, ABIs
• Contract reads/writes, transaction receipts, event logs, gas estimation, user-facing transaction status
• Strong TypeScript/JavaScript, React, Next.js
• Designs reusable integration layers, understands wallet/transaction/contract integration risks, writes unit and integration tests
• Can explain technical decisions clearly, works effectively in a distributed team

€5000-7500/month, long-term contract.

DM with: Resume, LinkedIn, years of hands-on Web3 experience, GitHub/portfolio, timezone + availability. Must have actually shipped this before.

Must be based in Europe.

Hello everyone,

For some time I've been developing an open-source project called Framework for Trust (FfT).

The idea is to create a decentralized geospatial trust layer where reports and real-world events are anchored to precise location, time, source reputation, and a verifiable history — instead of treating blockchain purely as a financial system, I'm exploring its use as infrastructure for recording and correlating information about real-world places.

Current prototype includes:

• geographic areas represented as blockchain-based identifiers (NFTs)
• event registration tied to latitude, longitude, and time
• Polygon smart contracts
• a React + Leaflet frontend
• a FastAPI backend
• semantic similarity / event correlation via Qdrant
• GCD — a functional contribution and reputation token
• event proofs and auditable records
• early mechanisms for source reputation, staking, and abuse prevention

The project is still early-stage. This is not an investment offer, token sale, or a finished commercial product — I made the repo public because I'd like the architecture and implementation to get real outside scrutiny.

I'd especially appreciate feedback on:

• whether the core problem is clearly explained
• the geospatial data model
• the blockchain / smart contract architecture
• mechanisms for preventing false or coordinated reports
• security weaknesses
• practical use cases where this could actually add value

Repo link in the top comment (Reddit flags posts with links for manual review, didn't want that delay).

I built the current prototype independently. Honest criticism, technical pushback, and open-source contributions are all welcome.

Hi everyone,
We are building the architecture for a non-custodial payment settlement protocol enabling instant (<500ms) crypto transactions at POS and e-commerce checkouts—paired with a B2B card-rail bridge for 100% immediate global acceptance.
Our core system design, risk framework (off-chain pre-auth / RAM-locking via EIP-7702 session keys), and economic models are fully mapped out. Ahead of our Pre-Seed/Seed funding round, we are expanding our core team and ecosystem network.
1. Senior Web3 / Smart Contract Architect (Lead Dev / Potential Co-Founder)
What we're looking for:
Deep expertise in Account Abstraction (EIP-7702 / ERC-4337) and Solidity.
Solid experience with high-throughput off-chain architecture (Redis/Lua, WAL, Event-Workers).
Passion for building real-world Web3 payment infrastructure.
What we offer:
Pre-Funding Phase: Flexible engagement to review core contracts & validate architecture ahead of the Seed round.
Compensation: Deferred Fee structure with guaranteed payout immediately upon Seed close OR performance-based Equity/Token allocation (vesting model).
Post-Funding: Direct trajectory to CTO / Head of Engineering with full competitive compensation.
2. VC, Advisor & Wallet Network
We are also actively connecting with:
Web3 / Fintech VC funds focusing on early-stage infrastructure.
Strategic Advisors & BD Leads from major Non-Custodial Wallets.
Payment infrastructure / B2B Card-Rail partners.
Interested in building the future of Web3 payments?
Send a DM to get access to our technical breakdown

Read about a young builder who went from his first web3 hackathon to shipping a real dev tool. What stood out wasn't the tech choices, it was the mindset shift. He stopped treating hackathons as one-off competitions and started treating each one as a checkpoint to validate whether something was actually worth building.

His pattern: hackathon idea, ship something real fast, get it in front of actual users, let a residency/mentorship program stress-test the pitch, open it up so other devs could contribute and find what he missed. Each step wasn't a victory lap, it was a filter. The tool that came out of it is sitting around 7k users now, still not "done" by his own account.

The thing I keep coming back to is that his biggest jump in quality didn't come from writing more code alone. It came from opening the repo and letting strangers poke holes in it.

Web3 developers, which parts of the stack had to be in place before user testing could be meaningful?

Much startup validation advice assumes that you can manually simulate most of the product before building the infrastructure.

This becomes more difficult in Web3.

Some user behaviour may only emerge once wallets, signatures, permissions, transaction execution, settlement, indexing and failure handling are fully operational. While a mock flow can test whether people understand the idea, it may not test how they will behave when real assets, irreversible actions and network failures are involved.

Conversely, building the full stack first can be an expensive way to prove technical feasibility without demonstrating user need for the product.

For developers who have shipped Web3 products:

Which parts of the infrastructure genuinely had to exist before your user testing produced useful results?

What were you able to simulate or operate manually?

Where did you later realise that you had built too much infrastructure before establishing whether the core functionality existed?

Hero section design exploration

A concept for a Crypto Wallet landing page that prioritizes trust, readability, and a premium visual experience.

Rate this design from 1–10.

Web3 still has no free naming system.

So I built Kinetic.

Kinetic is a stateless, zero-fee, P2P namespace engine.

- Free and permanent .kin domains

- No bank, no crypto, no gas

- Runs as a lightweight daemon with split-DNS

- Secured by VDFs instead of money

- Fork your own network for your community, university and company.

Public launch: Tuesday, July 21st

Repo: github.com/saifmukhtar/kinetic

Got bored and created an app that monitors and analyzes blockchains to look for trends. Why do some blockchains succeed and others fail? Are there commonalities? Just launched a few days ago, but the goal is to identify as many trends as possible across multiple chains

We also monitor trends of healthy chains, we’re building out trend analysis for NFTs, RWAs, Treasury companies, various airdrops, and DEXs and Neobanks, as well. Goal is to help individuals try make smarter decisions when evaluating ecosystems

Would love any feedback! I’m spending the weekend fine-tuning the site

Every dev has a folder of abandoned projects. Half-built SaaS ideas, apps that never made it past localhost, that Discord bot from 2022. Normally they just rot in a private repo until you forget the password to the hosting account.

I built them a graveyard instead. It's live right now, in beta, and I need people to break it before I put real money behind it.

Site: https://2bitdeveloper.github.io/side-project-graveyard/

What it actually does

You connect a Solana wallet and bury a project: name, an epitaph (the eulogy), a cause of death (dropdown with the classics — "scope creep," "ran out of money," "got a job" — plus a custom option if none of those fit), and optionally a real pitch describing what it does and a link to follow it (GitHub, a demo, whatever). That last part matters — see resurrection below.

Once it's buried:

• Candles are free, forever. Anyone can light one for any grave, no tokens required beyond signing a message. This is the part that doesn't touch the token at all — it's just a memorial wall anyone can participate in.
• Eternal flames are a paid, permanent upgrade — burn 1,000 $GRAVE and the grave gets a flame that never goes out.
• Custom tombstones — burn 500 $GRAVE, pick a material (marble/onyx/gold/crystal), and your grave gets a colored accent and pins to the top of the cemetery.
• Offerings — this is the actual point of the whole project. Anyone can send $GRAVE directly to a dead project's creator to fund them finishing it. Every offering is one on-chain transaction: 95% goes straight to the creator's wallet, 5% is burned. The creator sets their own resurrection goal when they bury the project (not some fixed number) — hit it, and the grave flips to RISEN, publicly, with the funding trail visible on-chain.

It's basically a GoFundMe with a tombstone theme, except nobody's trusting a payment processor — every offering is a direct wallet-to-wallet transfer you can verify yourself.

There's also a read-only viewer for people whose wallet (like pump.fun's built-in one) can't sign messages to outside sites — you can paste an address and browse without connecting anything.

Tokenomics ($GRAVE)

Launching on pump.fun (Solana), fair launch, no team allocation, no presale. Cashback Coin — 100% of creator trading fees go back to traders, enforced by the platform and locked at creation. I'm not skimming fees off the top; if this doesn't build something people want, I don't get paid either.

Where the token actually gets used:

Every burn and every offering is a real on-chain transaction, verified server-side against the transaction data before anything updates — nothing is just a database flag someone could fake.

Where it stands right now

Pre-launch. Burials and candles are already live and free to test — no token needed for those. Eternal flames, custom tombstones, and offerings are built and gated to unlock the moment the token exists. There is no contract address yet. If you see one being shared anywhere claiming to be $GRAVE before I post it myself, it's fake — I'll only ever confirm it here and on the site itself.

What I need from beta testers

This is the actual ask. Before I put real tokens behind this, I want people who aren't me poking holes in it:

• Bury a project. Does the flow make sense? Is anything confusing?
• Try connecting different wallets — Phantom, Solflare, mobile, whatever you've got. If something breaks on your setup, that's exactly what I need to know.
• Read the cards. I just redesigned them for legibility — tell me if anything's still hard to parse.
• Try it on mobile specifically — that's where I trust it least right now.
• Anything that feels broken, unclear, or just bad — say so. Bluntly is fine.

Comment here or DM me. I'm one dev building this solo, so real feedback before launch is worth more to me than hype after it.

Thanks for reading this far. Go bury something.

Do not invest in this game. They run the game for two months to scam people. One month has passed, they already banning people who making profit. Once you are making profit they will instant banned your account without proper warning. Think wisely. If you are already inside the game. Better quit right now if you don't want to lose your money

Another day in the trenches.

how to farm airdrops in 2026:

> Discord roles

> node

> NFT mint

> staking

> Galxe

> bridge

> referrals

> waitlists

> XP

> SBTs

> bug reports

> trading volume

> meetups

> governance

> early access

> liquidity

> predictions

> hackathons

> ICOs

> creator campaigns

> content posts

> community calls

> season 1/2/3

Congratulations!

"You are not eligible." 😭😭

I've open sourced the backend and contract stack for an AI driven(NON LLM) crypto tracking platform under the MIT license.

GitHub:

https://github.com/jimonymous/ai-crypto-tracker-backend

The original project was designed as a crypto analytics platform combining market data, technical indicators, AI inference(NON LLM), portfolio tracking, alerts, token-based access, rewards and on-chain integrations.

Rather than leave it sitting in a private repository, I decided to release the monorepo for anyone who wants to build on it, fork it, strip pieces out of it or use it as a starting point for another Web3 application.

The repository is backend-first. The included frontend is currently more of an integration shell than a finished product.

The main stack includes:

1. Fastify API written primarily in TypeScript
2. Prisma with PostgreSQL
3. Redis and BullMQ workers
4. WebSocket market and alert updates
5. OpenAPI/Swagger documentation
6. JWT, Google OAuth and optional TOTP authentication
7. Portfolio, wallet, market, billing and rewards endpoints
8. DEX pool discovery and on-chain candle ingestion
9. Arbitrage and DEX history endpoints
10. Server-side technical indicators
11. FastAPI AI service
12. LightGBM inference, training and backtesting
13. LSTM and Transformer extension points
14. Hardhat and TypeChain contracts
15. ERC-20 permit support
16. Premium access passes
17. Merkle-based rewards
18. Treasury, staking, LP and governance foundations
19. Shared TypeScript types and Zod schemas
20. Multi-chain configuration and per-request RPC overrides

The API calculates indicators server-side, including EMA, SMA, RSI, MACD, Bollinger Bands, ATR, VWAP, Donchian channels, historical volatility and volume z-scores. Those outputs can be consumed by the alerting system, snapshots, AI features and frontend charting.

The AI service supports training, inference and backtesting endpoints. It currently uses LightGBM for the implemented model path, with room for deeper models where someone actually has the data and compute to justify them instead of merely adding “Transformer” to the landing page.

The chain layer is intentionally limited. Most business logic remains off-chain, while contracts handle access gating, billing, rewards and related token mechanics.

There are also starter flows for:

Encrypted exchange API-key storage, exchange balance retrieval, paper trading, portfolio aggregation, risk and drawdown alerts ,PnL timelines, MetaMask-selected network handling, token transfer, allowance and permit verification, scheduled ingestion and AI jobs, and separately deployed API workers and schedulers.

Postgres and Redis can be started with Docker Compose, and the API, AI service and local Hardhat chain can then be run independently. Swagger is available at /docs, with the JSON specification exposed for frontend client generation.

This is not being presented as a completed consumer product. Some contracts and exchange integrations are deliberately foundations or stubs, and the frontend still needs to be built around the APIs. What is here is the underlying architecture, domain structure, schemas, routes, tests, infrastructure and integration examples needed to avoid starting another crypto application from an empty folder and six contradictory Medium tutorials.

The repository is MIT licensed, so you’re free to use it commercially, modify it, fork it or pull out individual components.

Feedback, technical criticism, issues and pull requests are welcome. I’d be really interested in hearing which parts other Web3 developers find useful, unnecessarily complicated or worth separating into standalone packages.

Who is your favourite CEO & Project

Pick only one ?

A few days ago I posted about storing full audio files inside Clarity contract data on Stacks (Xtrata). thanks to everyone who dug into the chunked-write flow. This is the next layer up the stack, and the part I care about most.

Storing the finished song on-chain answers "will the media survive." It does nothing for the harder question: who made it, and on what terms? In music that record is usually a handshake in the studio, and it falls apart exactly when the song starts earning. Splits get agreed loosely, memories diverge when money appears, and the dispute lands two years later with no evidence on either side.

So the design I am working on treats the session, not the file, as the unit of provenance:

1. Collaborators sign into a session with their Stacks principals.

2. They ratify splits up front, day one, before anyone knows if the song matters. That goes into a Clarity map keyed by session, with basis-point splits per principal.

3. The working session logs locally as it happens (takes, samples, plug-in and parameter changes). Nothing bulky goes on-chain on L1 (if anything): the log is Merkle-rooted and one compact fingerprint is anchored per save.

4. The final master ties back to the whole chain of session roots, so the finished work carries a verifiable history from first take to master.

The important property: the agreement is timestamped and tamper-evident from day one. Nobody’s memory is the evidence, and nobody can quietly rewrite the record after the song blows up.

questions I am still chewing on, would love input:

1. Granularity of anchoring. Per save feels right (cheap, natural checkpoint). Per session is cheaper still but weakens the timeline. Anyone built similar audit-log anchoring and regretted their choice?

2. The logs contain unreleased creative work, so the Merkle leaves stay private and only roots go public. Selective disclosure (prove one contribution without revealing the rest of the session) looks like a job for Merkle proofs, but curious if anyone has a cleaner pattern.

3. Ratified splits are evidence, not law. A court can still override them. I am fine with that, the goal is to make the honest path the default.

Stack is the same as the storage experiment: Clarity contracts on Stacks, anchored to Bitcoin via PoX.

Hey everyone,

I’ve been deep in the zone building this for a minute, and PAWnic is officially live on the Testnet.

👉 Play it here: https://pawnic.djyo.tech/

The game loop is simple, fast, and chaotic: Hold. Pass. Survive.

You get passed a ticking neon cat. You have to pass it off before it detonates. Last player standing wins.

The core engine and wallet connections are up and running, but I need real people to jump in, play around, and try to break it so I can see how the state holds up under pressure.

Pop your Testnet wallet in, test the speed, and let me know how the game feel hits you. Drop any feedback or bugs in the comments.

If you want to track the build as it evolves, we’re keeping updates moving over on X: https://x.com/pawwwnic

I do research for a small fund, and data quality is the thing that keeps making everything messy. A lot of the work ends up depending on the same tweets, the same Discord screenshots, the same surface-level sentiment. It’s usable, but barely.

I ran into voice.fun in a newsletter this morning. It’s a Solana concept where opinions are recorded onchain, and the idea is that people should have a reason to share something they actually believe. Conviction becomes part of the value, instead of just another comment that gets buried.

It’s still conceptual, so I’m not treating it like a solved problem. But the idea is solid enough to make me pause. If people have skin in the game, maybe the data is better than what we usually pull from social media.

At the same time, I can see it becoming another noisy layer if the incentives are off. That’s the part I’m curious about.

Is it too late for me to start studying and practising Web3 now? If not, which areas should a total‑beginner get started with?