Soloop
Approval-first AI agent team — CEO, CTO, CMO, and Analyst — that helps solo founders take an existing prototype to paying users.
🔗 Visit Soloop
Description
Going from a working prototype to actual paying customers means doing product planning, more building, marketing, and analysis all at once — usually more roles than one founder can realistically fill. Soloop assigns each of those roles to a specialized AI agent, with the founder approving what gets done before it happens.
Soloop is an AI agent operating system for solo founders, made up of specialized agents — a CEO agent for planning and prioritization, a CTO agent for building and execution, a CMO agent for demand generation, and an Analyst agent for market research — that work together to move a founder from an existing prototype toward paying customers. It runs on an approval-first workflow, meaning agents propose actions and the founder approves them before execution rather than acting fully autonomously. It's a real, active product founded by Arthur Yu in Singapore, with founder testimonials citing concrete results like reduced sprint-planning time.
💬 Our review
The short version: Soloop is an interesting structured take on AI-assisted founder work, and the approval-first design is a sensible safety net, but it only serves founders who already have a working prototype — it won't help you get from zero to a first product.
Compared to using separate tools for planning, building, marketing, and research, or general agent frameworks like LangChain, Soloop's advantage is that the four agent roles are designed to work together with shared context, rather than you manually stitching together outputs from separate tools. The approval-first workflow is a deliberate trade-off: slower than a fully autonomous agent, but it keeps the founder in the decision loop, which matters when agents are proposing marketing spend or product changes. The scope is genuinely narrow, though — this explicitly targets founders past the initial prototype stage, so pre-launch idea-stage founders aren't the audience. Pricing isn't public, which is a real gap for a product aimed at cash-conscious solo founders who need to know the cost before committing. Best fit: solo founders with a working prototype who want structured, approval-gated help scaling toward revenue. Weaker fit: pre-launch founders still validating an idea, or anyone wanting fully autonomous agents without an approval step.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Aucune grille tarifaire publique ; modèle probablement personnalisé selon l'usage (approval-first).
Pros
Rôles d'agents spécialisés (planification, code, marketing, analyse)
Workflow approval-first préserve le contrôle du fondateur
Cible le fossé validation→acquisition client
Agents intégrés réduisent le besoin d'outils multiples
Témoignages concrets (réduction du temps de sprint planning)
Cons
Tarification non publique
Réservé aux fondateurs avec produit déjà existant
Workflow d'approbation ajoute de la latence vs agents pleinement autonomes
Seulement 4 rôles d'agents, ne couvre pas toutes les fonctions