Handraise— Social-graph braintrust
Leverage your network for the benefits of building in public without being spammy: you post a tight brief, only volunteers in that specialty respond, answers line up side by side, and contributors earn portable credit.
A founder is deciding whether to kill a feature, change pricing, or ask for an intro. Today that usually means vague posts, scattered DMs, awkward favors, and advice trapped in threads. Handraise turns that into one structured ask, routed to the right people, with answers compared in one place and the next move made obvious.
LinkedIn reports more than 1 billion members across 200+ countries and territories, which means most founders already sit inside a massive latent expert graph.
Research on interrupted work found that people compensate by working faster under interruption, but at the cost of more stress, frustration, time pressure, and effort.
Referral channels also tend to lower screening costs and improve match quality versus other recruiting channels.
Problem
There are countless missed opportunities inside your network.
People would gladly review a feature cut, sanity-check pricing, or forward an investor intro. Founders hesitate because asking feels like a burden. Broadcast posts feel spammy. Threads lose context. Advice is hard to compare. Outcomes are not tracked, so reciprocity decays.
Solution Hypothesis
Convert contacts into opt-in cohorts mapped to skills, topics, and availability. Every brief includes your goal, key context, constraints, and what a good answer looks like. Responses arrive side-by-side and synthesize into one recommendation with the smallest next step. Results credit contributors with portable proof of impact.
(primary). Route a brief only to people who opted into that specialty, like Product, Pricing, Creative, or Intros.
A structured open invite your whole graph can answer, perfect for building in public without blasting DMs.
Quiet asks to a small trusted list for faster or more personal help.
Ask once. Route precisely. Compound trust.
Product
Farcaster and AT Protocol for portable social graphs, plus LinkedIn, Instagram, email, and phone contacts. One rail, many networks.
Farcaster already supports sign-in flows that let apps leverage social data, and AT Protocol is explicitly designed around identity and account portability. W3C standards now provide mature primitives for decentralized identifiers and machine-verifiable credentials. That makes the "portable contribution ledger" piece materially more buildable than it was a few years ago.
Specific Examples per ICP
FoundersStartupsA seed-stage founder needs to decide whether to raise price before launch. They post a brief with current pricing, target customer, objections heard, and the exact decision they need made by tomorrow. Handraise routes it to opted-in pricing operators, SaaS founders, and two friendly angels. Five responses come back in parallel. Two say raise now, two say segment pricing, one says keep price and tighten packaging. Handraise summarizes the tradeoffs, recommends a segmented test, drafts the outbound copy, and credits the contributors whose advice was used.
Value prop from both sides
Faster decisions, higher signal, no social guilt. Precision routing lowers decision time, and side-by-side answers prevent analysis drift. Warm intros are metered and targeted. Build in public without bothering your network.
You choose topics, micro-time slots, and compensation. Every ask arrives pre-packaged. Accept or pass with one tap. Your help earns portable credits, public proof of skill, and visibility that leads to paid micro-work, full-time roles, or formal advisory.
Neglectedness
Market
Professional help already lives inside existing graphs. The opportunity is a horizontal precision-help OS that converts social capital into measurable decisions at low coordination cost. Direction of travel: larger graphs, more independent work, more agent-prepared briefs, more trust riding on warm routes. First principles: output is bottlenecked by decision time and interruption cost. Handraise attacks both with structure and routing.
There is already a large software market around professional graph utility. Reuters reported LinkedIn generated $15 billion in fiscal 2023 revenue, including $7 billion from hiring software and $1.7 billion from premium subscriptions. Handraise is not "another network." It is a decision layer on top of networks that already exist. That is a better place to start, because the graph is already there and the pain is coordination, not account creation.
Why now
Build Now- Portable social graphs are real enough to matter.Farcaster sign-in lets apps use social data, and AT Protocol is built around account migration and portable identity.
- Referral economics are well established.Referrals lower screening costs and improve hiring outcomes, which is a strong proof point that warm, trusted routing beats generic distribution for many professional decisions.
- Interrupted work is expensive.Even when output speed holds up, interruption raises stress and time pressure. Structured asks are not just cleaner, they are cognitively cheaper.
- Portable reputation has standards now.DIDs and Verifiable Credentials provide a standards-based path for contribution records that are machine-verifiable and portable across tools.
Business Model
PlatformCoordination InfrastructureSaaS per seat for founders and teams.
Usage-based fees for investor-intro workflows.
Marketplace rev share for curated expert cohorts.
Credential API for platforms that want portable proof-of-impact.
The moat is not the UI. It is the decision graph.
The software is buildable now. The hard part is behavior change, trust design, and two-sided liquidity.
Unique Go To Market
Operator-LedVenture-ScaleStart with accelerators, founder communities, and VC portfolios. Those groups already have dense semi-warm graphs, recurring asks, and strong incentives to help without wasting time.
Then make every successful ask produce a shareable proof-of-help card:
- the original brief
- the accepted or synthesized answer
- the credited contributors
- the resulting action taken
That turns each solved ask into content, reputation, and distribution at once. Founders share because it shows progress. Helpers share because it proves expertise. The product grows through visible solved problems, not generic invitations.
Early-stage founders buy first because they face frequent high-leverage decisions, have real but underused networks, and cannot afford slow or low-signal advice.
AGI Future edge
Agents draft the brief, pre-fill context, and summarize responses. Humans supply trust, taste, and access. Handraise binds the two. As agents improve, your briefs get sharper, your cohorts stay human, and your decisions compound. Portable credits let the best contributors surface across companies, shortening the ask-to-answer loop every month.
Future roadmap:
Civilizational Impact.
Network Effects of Trust
Networks get stronger when help is easy to give and safe to ask for. Handraise lowers the social cost of asking, raises the quality of giving, and turns contribution into a portable asset.
Accelerating Abundance
In an AGI world, this pushes the frontier toward abundance by accelerating diffusion of judgment and know-how, while preserving human trust at the center.
Civilization-Scale Coordination
The upside is stronger social trust infrastructure. More good judgment gets routed where it is needed, moving away from fragmentation and toward compounding progress.
Impact Score
Builder Proof-of-Work
Community submitted artifacts, notes, and implementations for this idea.
KPIs
- ✓ briefs created per active founder per week
- ✓ percent of briefs receiving 2+ useful responses
- ✓ median time to first useful response
- ✓ founder-rated decision confidence after a brief
- ✓ percent of credited contributors who answer again within 30 days
- ✓ intro acceptance rate
- ✓ percent of briefs that lead to a shipped decision or completed next step
First experiment
Falsifiable hypothesis:
structured, opt-in asks will produce at least 2 useful responses within 24 hours on 35%+ of briefs, while cutting founder-reported decision time by 25% versus their usual channels.
Smallest test:
recruit 25 founders and 150 helpers, ship only four templates, run for 21 days, and compare response rate, time-to-answer, and decision confidence against each founder’s last comparable ask made through DMs, Slack, or public posting.
Transferable Insight
"Most networks are not underperforming because people lack goodwill. They are underperforming because asking is socially expensive and cognitively unstructured. Reduce those two frictions, and latent social capital starts behaving like infrastructure."
Pilot with 100 founders and 500 helpers. Ship four templates day one: Feature Triage, Pricing Experiment, Creative Critique, Investor Intro. Measure decision time, response quality, outcome lift, helper satisfaction. Publish the deltas and open the credit ledger.
Acronyms & References
Acronyms
- AGI: Artificial General Intelligence, an AI system with general-purpose reasoning ability across many tasks.
- HCI: Human-Computer Interaction, the field that studies how people interact with software and devices.
- DID: Decentralized Identifier, a standards-based identifier a user can control without depending on one central platform.
- Verifiable Credential: a machine-verifiable digital credential, like portable proof that someone made a useful contribution.
- SaaS: Software as a Service, software sold as an ongoing subscription.
- API: Application Programming Interface, a way one software system exposes functionality or data to another.
- OS: Operating System. Here it is used metaphorically to mean the default coordination layer for a category of work.
- AT Protocol: the open social networking protocol behind Bluesky, designed around identity and account portability.