DEV Community: Irina Ionova

PitchPop: A Fundraising Copilot That Shows What’s Actually Blocking Your Round

Irina Ionova — Wed, 29 Apr 2026 11:15:32 +0000

Fundraising in 2026 looks very different from what most founders expect.

Many teams spend months improving the wrong things. They polish decks, adjust valuation, push more traction, and still get silence from investors.

The problem is rarely effort. The problem is not knowing what exactly is broken in your specific round.

We’ve been working on this for months at InnMind, and today we’re opening public beta of PitchPop 🚀

PitchPop is a fundraising copilot that analyzes your raise and shows what is actually blocking progress. It is built on thousands of investor interactions, real advisory work, and patterns from rounds that successfully closed in 2025 and 2026.

Instead of generic feedback, it helps you understand your situation in investor language and focus on what moves the needle right now.

What you get inside:

Clear diagnosis of your main fundraising blocker
Investor objections you are not hearing and how to handle them
Weekly priorities ranked by impact
Benchmarks against similar rounds
Outreach assets tailored to your case

The diagnosis is free. Early users can unlock full access with a one-time beta upgrade and get all future features as the product evolves.

If you are raising in Web3 or AI, this is worth testing.

👉 https://pitchpop.app/

🚀 Web3 Grants Guide Updated for April 2026

Irina Ionova — Mon, 27 Apr 2026 13:21:59 +0000

We didn’t just update the grants database. We also updated the full guide to help you actually use it effectively ⚡

Тhis article will help you:
• Understand how Web3 grants actually work in 2026
• Figure out if your startup is a good fit
• Avoid the most common application mistakes
• Evaluate grants before wasting time on them
• Build a smarter non-dilutive funding strategy

⚠️ April reality:
Most grant lists are already outdated

That’s why inside the article you’ll also find access to:
📊 Web3 Grants Database 2026 (April Update)
→ 40 active opportunities with verified apply links

This combo = strategy + execution 💡

If you’re fundraising right now, don’t skip this.

👉 Read the updated guide

🚀 Web3 Grants Database 2026 — April Update

Irina Ionova — Wed, 22 Apr 2026 11:27:03 +0000

Nowadays reality check 👇
Most Web3 grant lists you see right now are already outdated.

That’s exactly why we rebuilt and updated our grants database for April 2026.

📊 Web3 Grants Database 2026 (April Update)
Now includes 40 ACTIVE opportunities with verified application paths

This is what makes it different from everything we shared before 👇

• Not a static list → every entry checked for April activity
• Not just “top grants” → includes real apply routes
• Not generic summaries → built for fast decision-making
• Not only public goods → covers real startup use cases
• Not outdated ecosystem pages → cleaned, structured, usable

💡 This is a working tool for founders who want to move fast, not read blogs.

Inside, you get clarity on:
funding type, real ticket signals, startup fit, eligibility, and how to actually apply

Covers Ethereum, Solana, Starknet, TON, Arbitrum, Polygon and more 🌐

⚡ €19 or included in InnMind Membership

Speed matters now. The earlier you apply, the higher your chances.

📎 Access here

💡 Fresh Perk Drop: 10 Extra Lovable Credits for Faster MVP Launch

Irina Ionova — Thu, 16 Apr 2026 12:59:44 +0000

🚀 We keep bringing fresh updates and new opportunities to our community, and this one is a seriously practical win.

💡 New perk unlocked: Lovable
Get 10 extra credits and build your MVP faster with AI.

If you’re validating a startup idea, building prototype, or need a fast landing page without waiting for a full dev cycle, Lovable helps you move from concept to working product in record time ⚡️

With these extra credits, you get more room to:
🛠 Prototype product flows
🌐 Build landing pages
📊 Create internal tools
🚀 Push your MVP closer to launch without upfront cost

This is one of those perks that can save time, budget, and engineering bottlenecks when speed matters most.

🎯 Especially useful if you need something real to show investors, users, or your team fast.

👉 Access the Lovable perk here.

Build faster. Validate smarter. Ship sooner 🔥

💡 Fresh Perk Drop: 10 Extra Lovable Credits for Faster MVP Launch

Irina Ionova — Thu, 16 Apr 2026 12:54:33 +0000

🚀 We keep bringing fresh updates and new opportunities to our community, and this one is a seriously practical win.

💡 New perk unlocked: Lovable
Get 10 extra credits and build your MVP faster with AI.

With these extra credits, you get more room to:
🛠 Prototype product flows
🌐 Build landing pages
📊 Create internal tools
🚀 Push your MVP closer to launch without upfront cost

This is one of those perks that can save time, budget, and engineering bottlenecks when speed matters most.

🎯 Especially useful if you need something real to show investors, users, or your team fast.

👉 Access the Lovable perk here.

Build faster. Validate smarter. Ship sooner 🔥

⚡️ $300K Saved Feels Better Than $300K Raised

Irina Ionova — Wed, 08 Apr 2026 11:42:26 +0000

Every founder talks about fundraising. The smarter ones are equally obsessed with how much money they never need to spend in the first place💡

Our new founder playbook breaks down how Web3 teams unlock $100K–$300K+ in hidden savings across infrastructure, tooling, analytics, etc.

It’s about finding the invisible leverage points inside your startup stack that quietly extend runway, improve efficiency, & give your team more shots on goal before the next raise🚀

✨We unpack where experienced founders usually find the fastest savings:
• tooling & startup credits
• lean MVP + infra decisions
• flexible hiring models
• grants as non-dilutive execution fuel

For early-stage Web3 teams, these savings often translate into 3–9 extra months of runway without slowing product velocity.

A highly practical read for founders who want more control, not more burn 👇

🔗 Read the full article

🧠 The cheapest capital is the capital you never need to raise.

🚀 Save Up to $300K on Your Startup Stack

Irina Ionova — Tue, 24 Mar 2026 12:16:22 +0000

Last week, we upgraded the InnMind Perks Club with new deals and better offers for Web3 founders.

If you're building right now, this isn’t “nice to have.” It’s a real runway extension.

💸 Founders using these perks can save from $50K to $300K+ across infrastructure, tools, and growth stack.

Where the savings actually hit:
• Up to 90% off tools like Intercom & DocSend
• 30% off HubSpot for marketing and CRM
• Retool free for 1 year (save up to $60K)
• 50% off HelloSign for legal workflows
• 20% off Carta for cap table management
• 20% off Linkcal AI (lifetime) for smarter scheduling
• 25% off CryptoRank AI for SEO and visibility

⚡ This is the stack most early-stage founders already pay for.

The difference? Now you don’t have to.

No hype. Just practical tools that help you save money, move faster, and stay focused.

👉 Explore all startup deals here

Build smarter. Spend less. Scale faster. 🚀

Tokenomics Calculator 2026: How to Model Your Token Economy Before Investors Do

Irina Ionova — Fri, 27 Feb 2026 12:07:54 +0000

Most tokenomics conversations still revolve around allocation percentages.

That is not what determines whether a token survives post-listing market dynamics.

In 2026, the focus is on post-TGE mechanics:

• Unlock convergence and clustering
• Cumulative sell pressure in USD
• Volume absorption relative to trading depth
• DEX liquidity under slippage constraints
• Multi-scenario stress testing

Many token collapses in 2024–2025 were not unpredictable events.
Unlock clustering, thin liquidity, and unrealistic valuation assumptions were visible months in advance. The modelling stopped at the base case.

A serious tokenomics framework now includes:

• Full unlock schedule modelling across a year
• Monthly sell pressure projections
• Volume absorption stress tests
• Liquidity depth simulations
• A 12-point structural risk checklist aligned with institutional due diligence

We broke down what a 2026-ready tokenomics model must include and how to structure it before investors review your deck.

👉 Full guide

XFounders 2026 Bootcamps for Web3 and AI Startups

Irina Ionova — Thu, 12 Feb 2026 11:49:30 +0000

XFounders is a membership-based rolling accelerator supporting Seed and Series A startups across Web3, AI, Fintech and Web2 to Web3.

The program focuses on traction, sustainable revenue and scalable business models. Web3 is used as infrastructure where it adds real value, not as a narrative shortcut.

The 2026 Bootcamps powered by Starknet Foundation will run in March, July, September and November.

Founders get:

4-week in-person bootcamps
1:1 mentorship and investor diagnostics
Fundraising readiness support
Access to a global VC ecosystem
Up to $1M equity-free grants
Marketing amplification including professional video exposure
Ongoing founder network beyond the bootcamp

This is designed for startups that already show traction.

Eligibility:

• $300,000+ external fundraising, including grants
OR
• $10,000+ monthly revenue

Plus interest in integrating with the blockchain partner ecosystem.

If you are actively scaling and raising, this could be a strong acceleration layer.

👉 Apply here

Coinbase Ventures’ 2026 thesis vs reality: what founders should actually pay attention to

Irina Ionova — Wed, 28 Jan 2026 13:40:00 +0000

Coinbase Ventures published its 2026 investment thesis, and the themes sound ambitious: RWA perps, AI agents, next-gen crypto infrastructure.

But when you line that up with publicly disclosed investments from 2024–2025, a mismatch shows up pretty quickly.

Most real checks are still going into stablecoins, DeFi infrastructure, exchanges, and foundational rails. The more experimental ideas appear far less in the portfolio so far.

That’s not unusual. Venture theses often describe where a fund wants the ecosystem to go, not where capital is actually flowing today.

For founders, the important part is knowing which side of that line you’re on. If your product reinforces Coinbase’s existing distribution and revenue engines, alignment is much more straightforward. If you’re building frontier infrastructure, timing, narrative, and concrete proof points matter a lot more.

We analysed the thesis, the deal data, and what this means for startup positioning in 2026.

👉 Full analysis

Building Vertical AI: Where Real Leverage Comes From

Irina Ionova — Wed, 21 Jan 2026 13:40:00 +0000

Vertical AI is not a SaaS feature and not “GPT with a nicer UI”.

It is a shift in what you are actually selling. Instead of software, you are automating expensive human work.

Large language models unlocked workflows that were previously off-limits. Not because they were impossible, but because they were too slow, too complex, or too expensive to automate. Legal analysis. Compliance. Audits. Medical documentation. Reporting. Work that traditionally sits on payroll, not inside IT budgets.

This is why strong Vertical AI products do not compete for tooling budgets. They go straight to the labour line in the P&L. Once you are there, the conversation with customers changes very quickly.

For early-stage founders, focus matters more than ambition. Most early mistakes we see are not technical. They are strategic. Teams chase “AI potential” instead of committing to one painful workflow and owning it end to end.

What tends to matter most early on:

One painful, repeatable workflow people already pay for
ROI early, not just an impressive demo
One breakthrough feature before platform thinking
Automation in steps, with humans still in the loop
Speed, before incumbents decide to care

We mapped several of these ideas into a small set of frameworks to help founders stress-test Vertical AI ideas before committing to their roadmap.

We share more practical frameworks, real examples, and founder discussions in our Telegram community if this way of thinking resonates:
👉 https://t.me/innmind/2017

Tokenomics Metrics That Actually Matter in 2026 (With Practical Formulas)

Irina Ionova — Tue, 20 Jan 2026 11:27:00 +0000

I work at InnMind, where we collaborate with early-stage Web3 startups on business modelling, go-to-market strategy, and fundraising preparation.

Across many tokenomics discussions and model reviews, one pattern keeps repeating.

Designing tokenomics that looks good on a slide is easy. Designing tokenomics that survives listing, unlocks, and multiple market cycles is hard.

In 2025, investors, market makers, and founders are increasingly focusing on a small set of metrics that actually determine whether a token economy works in the long term. This post breaks down those metrics in a practical way, with formulas you can use before launch or during fundraising.

Token Distribution and Vesting: Where Sell Pressure Is Born

Token distribution defines who receives tokens, when they receive them, and under what conditions. This directly affects price behaviour, investor perception, and long-term sustainability.

What matters most in practice:

Distribution must align with the actual business model.
Vesting schedules should balance incentives across teams, investors, and future contributors.
Large unlock cliffs almost always translate into short-term sell pressure.

Two risks are often underestimated.

First, unlock timing versus market conditions. Even strong projects face price pressure when large allocations unlock during periods of weak liquidity.

Second, relative vesting fairness. If early investors receive significantly better prices and faster vesting than later rounds, future fundraising becomes much harder.

Tokenomics is not only about how much goes to whom, but when it becomes liquid.

FDV vs Circulating Market Cap Ratio

One of the most important tokenomics metrics in 2025 is the relationship between fully diluted valuation and circulating market cap at launch.

_Formula:

FDV/MC Ratio = Fully Diluted Valuation (FDV)/Circulating Market Cap (MC)

FDV/MC Ratio = Circulating Market Cap (MC)/Fully Diluted Valuation (FDV)_

When FDV is extremely high while the circulating supply is very low, the project creates structural sell pressure. As unlocks begin, supply often grows faster than real demand.

In practice, healthier projects aim for:

FDV to circulating market cap ratio under 10 to 15x
Organic growth of the circulating market cap before major unlocks
Transparent communication around post-TGE supply expansion

This ratio has become a standard checkpoint for many seed and Series A investors.

Sell Pressure Modelling by Cohort

Sell pressure is not a single number. It is a simulation.

Different token holders behave differently:

Team members
Early investors
Ecosystem partners
Community reward recipients

Each group has different liquidity needs and risk tolerance.

A proper sell pressure model tracks:

Unlock schedules per cohort
Expected percentage of sell-through after each unlock
Comparison between sell pressure and daily trading volume
Liquidity depth, often measured at a plus or minus 2% price range

If expected sell pressure exceeds available liquidity, the price decline becomes structural rather than emotional.

Token Velocity: How Fast Value Leaks Out

Token velocity measures how quickly tokens move through the network instead of being held.

_Standard formula:
Token Velocity = Total transaction volume over a period/Average token supply during that period

Token Velocity = Average token supply during that period/Total transaction volume over a period

Alternative approach:
Token Velocity = Number of unique token transactions/Total token supply

Token Velocity = Total token supply/Number of unique token transactions_

High velocity usually signals weak holding incentives. Tokens move fast when users have no reason to keep them.

Velocity is influenced by:

Number of token transactions
Time between transactions
Number of token holders
Average holding period

Mechanisms such as staking, vesting, locking, buybacks, or burns can reduce velocity, but only when they are aligned with real product demand.

Network Usage and On-Chain Demand

Network usage translates product traction into token demand.

The exact metric depends on the product:

DeFi platforms track loans originated, repaid, or liquidity provided
GameFi projects track active users, sessions, and in-game purchases
Infrastructure protocols track meaningful transactions and fees paid in the native token

This is similar to revenue forecasting in Web2. Instead of subscriptions or advertising revenue, tokenomics models forecast usage, transactions, and demand for the token itself.

The key is not raw transaction count, but meaningful usage tied to utility.

Utility Design: Creating Structural Demand

In 2025, investors look for utility that cannot be replaced by stablecoins or off-chain credits.

Examples of stronger utility include:

Protocol or gas fees paid in the token
Access to essential product features
Staking or locking for yield or privileges
Collateral or liquidity provisioning
Reward multipliers that reinforce long-term holding

Utility should create buy pressure, not just distribute rewards. When utility is weak, velocity rises and unlocks overwhelming demand.

Supply Control: Burn and Buyback Mechanics

Burn and buyback mechanisms can help align supply with business activity, but they are not mandatory.

Common approaches include:

Burning a portion of protocol fees
Periodic supply reductions tied to usage
Buybacks funded by real revenue

These mechanisms work best when transparently defined and legally reviewed. In some jurisdictions, buybacks may raise regulatory concerns, so legal input is essential.

Final Thoughts

Tokenomics in 2025 is closer to financial engineering than storytelling. Metrics like FDV ratios, sell pressure simulations, token velocity, and network usage determine whether a token economy can survive beyond launch.

If you prefer modelling these assumptions before the market does, we have put together a tokenomics calculator that helps simulate supply schedules, FDV and circulating market cap dynamics, token velocity, and sell pressure by cohort.

It is optional, but useful if you want to stress-test your model before launch or fundraising.

👉 Tokenomics Calculator

The goal is not to optimise numbers on a slide, but to build a token economy that can survive real market conditions.