jesse future

crypto research

[dale @daleverett]

Raising pre-seed? These investors write first checks around $250K–$500K 👇

• @fdotinc
• @HustleFundVC
• @BoostVC
• @outlandervc
• @actionscapital
• @RightSideCapVC
• @ldvcapital
• @ChargeVC
• @AforeVC
• @forumventures
• @Boldstartvc
• @GoAheadVC
• @pearvc
• @redbudvc
• @2048vc
• @PrecursorVC

At this stage, investors are backing founder velocity.
If you're building an AI agent, don’t waste weeks stitching together memory, retrieval, workflows, and structured data.
Use @polygres : Postgres for the agent era
dm me for developer credits

[dale @daleverett]

If you’re building AI agents, study these projects:

• @polygres — Postgres for the agent era
• @LangChain / LangGraph — stateful agents
• @llama_index — agents over your data
• @crewAIInc — multi-agent workflows
• @dify_ai — agentic app builder
• @FlowiseAI — visual agent flows
• @OpenHandsDev — coding agents
• @browser_use — browser agents

agents need memory, tools, retrieval, workflows, and data that actually makes sense.

[Nicole DeTommaso 🪄 @nic_detommaso]

The high-signal accelerators every founder should know right now:

Y Combinator
South Park Commons
a16z speedrun
HF0
Neo
Pear VC (PearX)
Boost VC

If you're in one of these, VCs tend to take your calls and fundraising is easier.

This changes YoY depending on the quality of the startups coming out of the accelerators over time but right now these feel like the ones that are hot.

Add in any I missed 👇

[dale @daleverett]

For early-stage founders raising pre-seed: These funds write first $250 to $500K checks 👇
• @fdotinc — San Francisco
• @HustleFundVC — San Francisco
• @BoostVC — San Mateo
• @outlandervc — New York
• @rightsidecap — San Francisco
• @ldvcapital — New York
• @ChargeVC — New York
• @AforeVC — San Francisco
• @forumventures — New York
• @pearvc — Menlo Park
• @redbudvc — Columbia
• @2048vc — New York
• @PrecursorVC — San Francisco

At this stage it's really about the founders, personally i'm in @fdotinc 's program, if you're interested join my discord below.

[Lim Damien @damienhe]

For early-stage founders raising pre-seed:
These funds write first $250 to $500K checks 👇

• @fdotinc — San Francisco, CA
• @HustleFundVC — San Francisco, CA
• @BoostVC — San Mateo, CA
• @outlandervc — New York, NY
• @actionscapital — fka K50 Ventures
• @rightsidecap — San Francisco, CA
• @ldvcapital — New York, NY
• @ChargeVC — New York, NY
• @AforeVC — San Francisco, CA
• @forumventures — New York, NY
• @Boldstartvc — Miami, FL
• @GoAhead — Menlo Park, CA
• @pearvc — Menlo Park, CA
• @redbudvc — Columbia, MO
• @2048vc — New York, NY
• @PrecursorVC — San Francisco, CA

You’ll usually need some traction, but not always. At this stage it's really about the founders!

[Lukas @MiyaHedge]

https://t.co/3IvHI1Kkly

[Ksenia Moskalenko @kseniam0s]

The first check is the hardest. Nobody wants to go first. These funds do and write $100K-$500K pre-seed checks:

- @QuietCapital (generalist)
- @restivevc (fintech, AI)
- @Delphi_Ventures (crypto + deeptech)
- @ParkRangersCap (SaaS)
- @GrishinRobotics (hardware)
- @grahamandwalker (generalist)
- @MetaPropNYC (proptech)
- @Liquid2V (agnostic)
- @redbudvc (generalist)
- @IndicatorVC (SaaS)
- @isaackato Two Ravens VC (B2B AI)

P.S. A fast yes still needs a ready data room. If you are tired of docsend, build yours in under 10 minutes → @ThePageform

[Ksenia Moskalenko @kseniam0s]

Everyone has a US VC list. Few have a UK one. These investors are actively backing pre/seed startups:

- @BackedVC - EU tech, generalist
- @seedcamp - pre-seed, agnostic
- @ConceptVC_ - pre-seed, generalist
- @playfaircapital - 1st check, generalist
- @adaventures - pre-seed UK & EU
- @localglobevc - sector-agnostic
- @seraphim_space - space & deep tech
- @MMC_Ventures - emerging tech
- @7pcventures - pre/seed, deep tech
- @dawncapital - B2B SaaS, fintech
- @FelixCapital digital lifestyle, tech

P.S. Speaking from experience, the UK investors dig deep into data rooms. Yours should be ready before they ask for it → @ThePageform

[Hercules | DeFi @Hercules_Defi]

Everyone wants alpha… few know where to look.

It’s not in trending tokens.

It’s in early projects like these.🧵
----------------------

➢ @papertrade_xyz is a fully onchain trading platform on Hyperliquid, offering paper trading with up to 1000x leverage, zero market impact, and a 100% user-owned model.
----------------------

➢ @TownAI is an AI-powered personal assistant that works exclusively for its user, helping manage tasks while prioritizing privacy, enterprise-grade security, encrypted data storage etc.
----------------------

➢ @Special is an AI-focused holding company building a shared operating system for its portfolio of companies, using proprietary industry data and vertically integrated deployments to create.
----------------------

➢ @joinshiftX is a platform that pays users to record everyday work and household tasks, creating real-world training data while allowing participants to earn weekly income.
----------------------

➢ @eastworlds_io is a neodeployment lab for embodied AI that helps robotics teams move from controlled testing to real-world operations by providing deployment infrastructure.
----------------------

➢ @Katch_live is a real-world data platform for AI agents that turns physical, time-sensitive observation needs into funded missions for verified humans.
----------------------

➢ @RealityFi_xyz is an RWA platform that tokenizes stocks, ETFs, funds, and commodities into fully backed rTokens, enabling global users to access, transfer, and use regulated financial assets.
----------------------

➢ @caspius_ai is a physical AI data network that rewards users for recording first-person demonstrations of everyday tasks, generating high-quality training data used to build and fine-tune robotics foundation models.
----------------------

➢ @TxFlow_L1 is an L1 purpose-built for onchain finance, a fully onchain central limit order book (CLOB), and composable liquidity Channels that eliminate fragmentation and bridges.
----------------------

➢ @winnr_trade is a Solana-native information markets platform building prediction market and optimistic oracle, combining gasless trading, private order flow, and CLOB-based execution
----------------------

➢ @voxlyink is an AI writing agent for X that learns a user's unique writing style from their timeline, generates source-grounded posts and articles in their voice.
----------------------

➢ @atlasmotion is building the sovereign motion systems supply chain for the autonomous era.
----------------------

➢ @Valkrilabs is building the credit layer for prediction markets, enabling users to borrow against outcome tokens, unlock liquidity from active positions etc.
----------------------

➢ @Fliptexts is an AI-powered personal finance assistant that lives in iMessage, helping users manage spending, optimize rewards, track cash flow, reduce unnecessary expenses.
----------------------

➢ @talonprotocol is a privacy-focused launchpad on Base that enables users to deploy tokens from zk-addresses, enforce fair-launch mechanics onchain, and integrate token utility.
----------------------

➢ @soulboundzip is a Uniswap v4 hook that lets users open recursive leveraged liquidity positions in one atomic transaction.

Which did I miss? Lemme know in the comments 👇

[Ksenia Moskalenko @kseniam0s]

The YC rejection isn't the end. These accept applications year-round.

1. @southpkcommons - frontier tech, pre-idea to early. $400K for 7% + $600K next round. Rolling.

2. @forumventures Accelerator - B2B SaaS, pre-seed $100k USD for 7.5% equity, GTM support. Rolling.

3. @AntlerGlobal US - backs you before you have a co-founder. $250K+ across US hubs. Rolling.

4. @SOSV - deep tech and hard tech via HAX and IndieBio. Up to $550K+. Rolling.

5. @psl - Seattle startup studio + VC, validate the idea, build the company. Rolling.

The deadline you missed wasn't your only shot.

P.S. If you're applying to any of these, your data room needs to be ready before they ask. Build yours today in under 10 minutes → @ThePageform

[diva @divaagurlxw]

As an AI Engineer. Please learn

>Harness engineering, not just prompt engineering

>Context engineering, not just long prompts

>Prompt caching vs. semantic caching tradeoffs

>KV cache management, eviction, reuse, and memory pressure at scale

>Prefill vs. decode latency and why they optimize differently

>Continuous batching, paged attention, and throughput optimization

>Speculative decoding vs. quantization vs. distillation tradeoffs

>INT8, INT4, FP8, AWQ, GPTQ, and when quantization hurts quality

>Structured output failures, schema validation, repair loops, and fallback chains

>Function calling reliability, tool contracts, argument validation, and idempotency

>Agent guardrails, loop budgets, tool budgets, and termination conditions

>Model routing, graceful fallback logic, and degraded-mode UX

>RAG architecture: chunking, embeddings, hybrid search, reranking, and freshness

>Retrieval evals: recall, precision, grounding, attribution, and citation quality

>Evals: golden sets, regression tests, adversarial tests, LLM-as-judge, and human evals

>LLM observability as a first-class discipline: traces, spans, tokens, latency, errors, and drift

>Cost attribution per feature, workflow, tenant, and user journey not just per model

>Safety engineering: prompt injection defense, data leakage prevention, and permission boundaries

>Multi-tenant isolation, cache safety, and cross-user context contamination prevention

>Fine-tuning vs. in-context learning vs. RAG vs. distillation and when each is the wrong tool

>Latency, quality, cost, and reliability tradeoffs across the full inference stack

>Production failure modes: hallucinated tool calls, malformed JSON, stale retrieval, runaway agents, and silent eval regressions

[Finn Mallery @fin465]

Every startup accelerators from best to worst terms in 2026:

Uncapped SAFEs

• Neo ($750k uncapped)
• Betaworks AI Camp ($500k for 5% + uncapped)
• Greylock Edge (custom SAFE + $500k credits)
• Conviction Embed ($150k uncapped MFN)

High valuation ($5M to $20M)

• Y Combinator ($500k for ~7%)
• HF0 ($1M for 5%)
• Sequoia Arc ($1M for 10%)
• Afore Capital ($1M for 10%)
• PearX ($250k to $2M, custom deal)
• South Park Commons ($400k for 7% + $600k follow)
• a16z Speedrun ($500k for 10% + $500k follow-on)
• The Mint ($500k for 10%)
• Founders, Inc. ($100k to $250k for 4-7%)
• Techstars ($220k for 5%+)

Mid valuation ($2M to $4M)

• SOSV/HAX ($250k for ~7%)
• Seedcamp (£100k to £400k for ~8 to 12%)
• Boost VC ($500k for 15%)
• Entrepreneurs First (up to $250k for ~9%)
• Antler US ($200k to $250k for 8 to 9%)
• HSG START (CHF 200k for 4 to 10%)
• ERA ($150k for 6% + $320k credits)
• 500 Global ($150k for 6%)
• LAUNCH ($125k for 6%)
• Founders Fellowship ($150k for 5 to 10%)

Low valuation (under $1.5M)

• gener8tor ($100k for 7.5%)
• Forum Ventures ($100k for 7.5%)
• Bethnal Green (£60k for 7%)
• Antler Europe (€100k for 10% + stipend)
• Startup Wise Guys (€65k + €300k follow-on)
• Alchemist (~$30k for ~5%)

P.S. we just launched our YC deal for founders doing outbound @origamichat - check it out

if you’re part of another accelerator & want to setup a partnership for access, dm me

[Recogard @recogard]

11 free GitHub repos for Polymarket trading…

Here is everything you need to automate and make your trading easier:

1. This is the largest Polymarket dataset with over 107GB of real trading data, based on more than 1.1 billion trades, analyzed by 5 professors from Shanghai University.

GitHub: https://t.co/7hj5ZXRz0K

2. A working backtesting simulator that lets you test your own ideas and strategies on real historical markets to see your potential Pnl and possible risks.

GitHub: https://t.co/fmzzTgXAUl

3. This tool analyzes the real trading behavior of any Polymarket trader, finds repeated patterns in his trades, shows which strategies he uses and how you can adapt them to your own trading.

GitHub: https://t.co/SzdjHtASLt

4. This bot automatically manages your limit orders on Polymarket to maximize liquidity rewards.

GitHub: https://t.co/nvb96dTIwx

5. A weather bot from a Chinese dev that can analyze multiple sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to generate a detailed weather report for any specific city and day.

GitHub: https://t.co/No3sBcqMg1

6. This bot comes with 118+ ready to use automated strategies and tools for trading on prediction markets, including arbitrage between Polymarket and Kalshi, Polymarket - Binance price latency, Mean Reversion and more.

GitHub: https://t.co/2MCzD8iZG7

7. This is a useful tool for building your own AI agents and connecting them to your trading workflow.

GitHub: https://t.co/eItPbDlVhs

8. A trading dashboard where multiple AI agents analyze a selected market from different angles (checking news, price behavior, technical indicators and possible risks) to help you make better decision.

GitHub: https://t.co/02iWujLbxe

9. This tool lets you search for information about any historical market, price or trader across different prediction market platforms inside one dashboard.

GitHub: https://t.co/Z8I3z9sh74

10. This is a trading bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts and more.

GitHub: https://t.co/p3obYeQTzO

11. The largest public list with 100+ free useful tools and services for Polymarket, from analytics tools and trading bots to AI agents and education resources.

GitHub: https://t.co/jqvVR9106v

All of these repositories are free and come with a detailed step by step installation and usage guides in English.

[Ksenia Moskalenko @kseniam0s]

A fresh fund has one job: deploy. These ones just closed and the clock is running:

- @Playground_VC $475M Fund IV (CA)
- @VersionOneVC $108M (Vancouver, B.C.)
- @LightningCapAM $100M Fund I (Miami)
- @MightyCapital $91M Fund III (SF, CA)
- @ZealVC $82M Fund II (Washington, DC)
- @rachelchalmers's Generationship $2.7M Fund I (SF)
- @refactor by @zalzally $50M Fund IV (CA)
- @WisdomVentures_ $77.7M Fund II (CA)
- @restivevc $45M Fund III (San Francisco, CA)
- @balerionspace $90M Fund II (Dallas, TX)
- @N49PVC $25M Fund IV (Toronto, CA)

P.S. Raising your own fund? Your LP data room should be as sharp as your thesis. Build best rooms at → @ThePageform

[The Startup Ideas Podcast (SIP) 🧃 @startupideaspod]

https://t.co/NxEOWoQ9R4

[MO @embrron]

Prediction markets are no longer one mechanism, they’re becoming a design space.

over the next few weeks, I'll break down 7 prediction market primitives, one by one:
1. Binary Markets
2. Event Contracts
3. Scalar Markets
4. Decision Markets
5. Multiverse Markets
6. Information Markets
7. Continuous Markets

Each one exists because a different type of belief needs a different market structure.

Beliefs have different shapes, Markets should too!

[0xMarioNawfal @RoundtableSpace]

10 GITHUB REPOS SO GOOD THEY SHOULDN'T BE FREE

* TradingAgents
https://t.co/O9GMT2J4Iw

* LibreChat
https://t.co/TiRzN0gzId

* HyperFrames
https://t.co/uWikFN3mSI

* Fincept Terminal
https://t.co/BbZyY5pnll

* MoneyPrinterTurbo
https://t.co/BhtfhPLSrF

* Agentic Inbox
https://t.co/bbdTWF654P

* VoxCPM
https://t.co/Tx0UWAnuaP

* Flowsint
https://t.co/1Osqb7PdWh

* Agent Skills
https://t.co/dVIJIyDLv5

* Nango
https://t.co/Qyjch2vogl

[PA13L0 @Fluyeporlaweb]

10 repositorios de GitHub tan buenos que no deberían ser gratuitos.

1. TradingAgents

Un equipo completo de analistas de IA que debate estrategias y ejecuta operaciones en mercados reales. 4 analistas en paralelo: fundamentales, sentimiento, noticias y técnico. Luego un gestor de riesgos y un agente ejecutor. Como tener un equipo de Wall Street que trabaja 24 horas en tu ordenador.
repo - https://t.co/meb8dlqGwB

2. LibreChat

ChatGPT, Claude, Gemini, DeepSeek y 20 modelos más en una sola interfaz. Autoalojado. Soporte nativo para MCP. Tu historial, tu infraestructura, tus datos. OpenAI cobra $20 al mes por su interfaz. Aquí usas tus propias claves y no pagas nada de más.
repo - https://t.co/Uj9Cy3Lbc9

3. HyperFrames

HeyGen abrió el código de su motor de video interno. Escribes HTML. El agente renderiza MP4. Sin React, sin JSX, sin formatos propietarios. GSAP, Lottie y Three.js funcionan de serie. El mismo HTML siempre produce el mismo archivo. Usado en producción por HeyGen, tldraw y TanStack.
repo - https://t.co/EeLlpqK5L2

4. Fincept Terminal

Una terminal Bloomberg que corre en tu laptop. Análisis nivel CFA 1, 2 y 3. Más de 20 agentes de IA inversores que razonan como Buffett, Dalio y Soros. Más de 100 conectores de datos. Bloomberg cobra $24.000 al año. Esto no cuesta nada.
repo - https://t.co/qCQkBgEzLS

5. MoneyPrinterTurbo

Metes una palabra clave. Salen el guion, las imágenes, los subtítulos, la música y el video final en alta calidad. Horizontal o vertical. Sin editar nada a mano. Lo que hacen los creadores de contenido que no quieren que sepas que usan IA.
repo - https://t.co/RtCmSYCQQw

6. Agentic Inbox

Cloudflare acaba de abrir el código de un cliente de email donde un agente de IA lee tu bandeja de entrada y redacta las respuestas. 100% en Cloudflare Workers. Tu email no sale de tu cuenta. Sin servidores externos. Sin suscripción.
repo - https://t.co/mGsN8spCOX

7. VoxCPM2

Clonas cualquier voz con 3 segundos de audio. 30 idiomas. Calidad estudio de 48kHz. Diseñas voces desde texto: "voz masculina grave de locutor de radio". Sin API de pago. Sin que tus muestras de voz salgan de tu máquina. ElevenLabs cobra $22 al mes.
repo - https://t.co/ctUrA0d1K9

8. Flowsint

Introduces un dominio. La herramienta despliega un grafo con todas las IPs, subdominios, emails, wallets cripto y perfiles sociales conectados. Todo almacenado en local. Sin que nadie sepa lo que estás investigando. Para OSINT, due diligence y análisis de competencia.
repo - https://t.co/GTrSEJqSsT

9. addyosmani/agent-skills

El ingeniero de Google que lleva 15 años enseñando rendimiento web a toda la industria publicó sus skills para Claude Code. 23 flujos de trabajo reales probados en producción. API design, code review, debugging, CI/CD y frontend. Instalación con un comando.
repo - https://t.co/ByOJtJlQX3

10. Nango

La capa de integraciones que las empresas pagan $50k al año por alquilar. 700 APIs listas: Salesforce, HubSpot, Slack, Gmail, Stripe, Jira y más. OAuth gestionado. Tu agente de IA genera el código de integración desde un prompt. Usado en producción por Replit, Ramp y Mercor.
repo - https://t.co/i5XmU3GzJK

Estos no son juguetes. Cada uno reemplaza un producto de pago por el que todavía te están cobrando.

Elige uno. Instálalo. Conéctalo a tu flujo de trabajo.

100% gratis. 100% open source.

[Dimitar Angelov @dimitarangg]

opus 4.8 dropped 4 days ago and we've already rebuilt our entire lead gen pipeline on top of it

not for some bs like "writing better cold outreach messages"

we built a FULL end-to-end email + linkedin outbound system that scrapes leads from 5 untapped databases, writes scripts from real market psychology, sequences across 3 channels, handles replies automatically, and books 60+ calls/mo with 1-2 hours of daily actions

and i just documented the ENTIRE thing inside 1 notion guide...

here's EVERYTHING that's inside:

→ the dynamic workflow prompt that scrapes google maps, crunchbase, X engagement, reddit, and upwork leads IN PARALLEL in one session (scored, verified, enriched, and ready to send in 45-90 minutes)

→ the max-effort market research prompt that found "predictable pipeline" converts 4x better than "more leads" for one client's ICP (increased reply rates from 2.8% to 4.6% on the same list)

→ the script generator that writes 9 emails + 6 inmail DMs from actual ICP language, not templates (3 angles, 3 channels, spintax built in, spam triggers auto-flagged)

→ the reply handling system that replaced a $5k/mo setter (classifies replies with 95%+ accuracy, drafts responses in 2 minutes, human approves in 15 seconds via slack)

→ the CRM that builds itself from call data (deal stages, follow-up tasks, confirmation sequences, contract drafting from fireflies transcripts)

all backed by 100s of qualified meetings booked and $4.8M+ in pipeline revenue generated.

like + comment "CLAUDE" and i'll send it over

(must be following + repost for priority access)

[1752vc @1752vc]

15 Idea Stage Investors

@HarpoonVentures — $100k–$5M Early-stage investor focused on national security technologies

@1752vc — $100k Invests in early-stage tech

Julian Capital — $750k Deeptech seed fund

@AntlerGlobal — $125k Invests at day zero, pre-idea/pre-team

@BlackFlagVC — $100k–$1M Invests in early-stage tech and high-growth startups

@FirstMileVC — $100k Invests in early-stage tech and AI startups

@outsetcap — $200k–$400k Backs early-stage startups building innovative technology solutions

@redbudvc — $50k–$150k Early-stage tech investor

@SusaVentures — $1M–$2M Focused on data-centric, moat-driven startups

@1517fund — $50k–$400k Provides R&D checks for technical founders

@1UpFund — $500k Invests in gaming and VR startups

@500GlobalVC — $100k–$5M Focused on fintech and AI

@7wireventures — $100k–$5M Invests in healthcare startups

@8bitcapital — $100k–$1M Focused on software tools with network effects

@VenturesAv8 — $500k–$10M Backing early-stage healthcare startups powered by AI

@axialvc — $100k–$5M Invests in early-stage life sciences companies