ten_cubed
ten_cubed is an open-source social graph primitive implemented as a single PostgreSQL recursive query. It enforces a hard ceiling of 1,110 reachable nodes per user across three degrees of separation, with a maximum of 10 direct connections per user. The tool is designed for developers building trust-based applications where network reach must be capped to prevent influencer accumulation and viral manipulation. Agencies integrate ten_cubed into client PostgreSQL databases to add bounded social layers without provisioning a dedicated graph database, reducing infrastructure complexity and backend development time.
ten_cubed is an API management platform. InnovaAI scores it 4.1/10 for agency adoption, best for Backend Engineer, Project Manager, and Product Strategist roles.
Agency Audit
ten_cubed is a PostgreSQL-native social graph primitive that caps user networks at 1,110 connections across three degrees of separation, implemented as a single recursive SQL query. It prevents virality and influencer accumulation by enforcing hard connection limits. Agencies building niche community platforms or trust-based applications for clients should adopt ten_cubed internally if their backend team owns PostgreSQL infrastructure and needs to prototype bounded social features without spinning up a dedicated graph database. The tool is best suited for technical teams validating community-platform concepts before scaling.
3recommended
12/mo
No paid plan published
Moderate
Illustrative scenario. Not a guarantee. Net capacity needs a verified paid base plan, and none is published for this service, so it is not modeled. Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Backend Engineer handling social graph implementation for client platforms
- Project Manager handling bounded-network architecture design and prototyping
- Product Strategist handling privacy-first community platform pitching
- Your agency does not build social or community features for clients, or does so fewer than 2 times per year, making the tool a solution in search of a problem.
- Your backend infrastructure runs on non-PostgreSQL databases (MongoDB, DynamoDB, etc.) and migrating to PostgreSQL for a single feature is not feasible, leaving ten_cubed incompatible with your stack.
- Your team lacks in-house PostgreSQL expertise and would need to hire or train developers to implement recursive SQL queries, turning adoption into a hiring cost rather than a productivity gain.
Internal Adoption Path
No paid plan published
12 hr/mo
3 seats × 4 hr each
$900/mo
modeled at $75/hr labor rate
No paid plan published
Illustrative scenario. Not a guarantee. No verified paid base plan is published for this service, so subscription cost and net capacity are not modeled. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of ten_cubed
Hard-capped network limits per user
Enforces a maximum of 10 direct connections and 1,110 total reachable nodes across three degrees of separation. Backend engineers use this to prevent influencer accumulation and viral runaway in client community platforms without writing custom validation rules.
Single recursive SQL query implementation
Walks the bounded social graph using one PostgreSQL recursive query instead of multiple round-trips or a dedicated graph database. Reduces backend complexity and deployment footprint for Project Managers coordinating infrastructure decisions.
User-controlled network depth via max_degree settings
Lets end users adjust their own network reach within the hard ceiling, giving Product Strategists a tunable privacy lever to demo to clients without code changes.
PostgreSQL-native integration
Requires no additional infrastructure or managed services; runs inside existing PostgreSQL instances. Simplifies DevOps and cost tracking for Operations teams managing client project databases.
Virality and influencer-accumulation prevention
Architectural constraint that prevents any single user from dominating the network graph. Helps Account Executives pitch trust-based community models to clients skeptical of algorithm-driven platforms.
Open-source reference implementation
Available for inspection and customization without licensing friction. Allows backend teams to audit the bounded-graph logic and adapt it to client-specific requirements without vendor lock-in.
What Makes ten_cubed Different
Unique advantages vs similar tools in this niche
Hard cap on network size prevents virality and manipulation
vs Traditional social graphs that allow unbounded growthThe 1,110-node ceiling makes coordinated manipulation non-scalable.
No influencer economy
vs Platforms with follower counts and monetizable audiencesWith no follower accumulation, the enshittification cycle never starts.
Single recursive SQL query replaces graph database
vs Dedicated graph databases like Neo4jDrop it into Postgres and you have a bounded social graph without extra infrastructure.
Value Equation
Outcome-likelihood-time-effort assessment for ten_cubed
Value math requires real pricing
The Value Equation (dream outcome × likelihood ÷ time × effort) feeds directly into ROI math. ten_cubed has no published pricing, so we hold this section until real numbers are available.
Contact ten_cubedPricing
Pricing data not yet available for ten_cubed.
Reality Check
ten_cubed requires PostgreSQL expertise on your backend team to implement and maintain. It is not a plug-and-play UI tool; adoption demands developer time for schema integration and testing. ROI is highest for agencies with 3+ full-time backend engineers who regularly build social or community features.
Moderate effort: standard configuration with some customization needed
How This Accelerates White-Label Services
Who It's For
- ✓developers-building-trust-based-social-apps
- ✓agencies-creating-niche-community-platforms
- ✓privacy-focused-product-teams
Acceleration Steps
- 1Create your account and complete setup wizard
- 2Configure cap social networks at 10 direct connections per user
- 3Connect PostgreSQL
- 4Launch your first client project
Academy for ten_cubed
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Gateway Weight ClassConcept
Gateway Weight Class is the practice of matching API infrastructure to the actual traffic and governance a client integration will see, rather than defaulting to the most capable platform on the roster. A single internal CRM sync and a public endpoint serving thousands of agent calls per hour need different tooling: the first is well served by a lightweight gateway or a database-backed API layer, while the second justifies enterprise traffic control. Agencies that skip this sizing step pay twice, once in license cost and again in the delivery hours spent configuring policies nobody asked for. The discipline is to score each integration on request volume, authentication complexity, and agent exposure before selecting a platform. A client whose only requirement is exposing a Postgres table can run on Directus, while a multi-tenant product routing LLM calls with spend caps fits Zuplo or API7. Sizing correctly is what lets an agency quote a governance retainer that clients can actually justify renewing.
- Endpoint Decay CurveConcept
Endpoint Decay Curve is the idea that every API an agency ships starts depreciating the moment it goes live, and the rate of decay is set at design time, not at handoff. An endpoint with a written contract, a versioning policy, and a live reference decays slowly; one shipped as a quick fix for a client deadline decays fast, and the cost lands on the agency as unpaid maintenance. The curve matters because agencies price delivery as a project but absorb decay as a retainer, so undocumented endpoints quietly convert margin into support hours. A concrete example: a client CRM integration built without a spec will break on the vendor's next schema change, and the agency eats the debugging call. Documentation platforms such as ReadMe and design-first tooling like Apidog exist precisely to flatten this curve, while gateway layers such as Zuplo or API7 can absorb breaking changes through versioning and rate rules rather than emergency patches.
- Governance Retainer LadderConcept
API governance is not a single service but a ladder of escalating commitments, and each rung carries a different retainer price. The bottom rung is documentation upkeep: keeping specs and reference docs current so client developers stop filing the same tickets. The middle rung adds traffic control, authentication, and rate limiting, which is where gateway tools like Zuplo and API7 earn their place. The top rung covers agent-facing access, spend caps, and audit trails, a layer that barely existed two years ago. Agencies that sell only the bottom rung compete on hourly rates; those that climb to the top rung convert one-off integration work into recurring stability revenue. The trap is skipping rungs: pitching an enterprise gateway to a client whose only real problem is stale docs adds cost without proportional value. Match the rung to the client's actual failure mode, then price the retainer against the outage or ticket volume that rung prevents.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- API Management Rule: Govern Agent Traffic Before You Sell Agent FeaturesEvaluation Rule
Put authentication, rate limiting, and spend caps in front of every endpoint an agent can reach before you ship the agent feature, and document those endpoints in the same sprint.
- When Client Integrations Break Monthly, Sell Governance Before New BuildsEvaluation Rule
Audit and govern the endpoints already in production before quoting any new integration build.
- API Management Decision: Governance Retainer vs One-Off Integration BuildDecision Framework
IF a client's integrations touch revenue-critical systems (payments, CRM, LLM features) and will keep changing after launch, THEN sell API governance as a recurring retainer covering documentation, gateway policy, and traffic monitoring. IF the integration is a single static handoff with no downstream consumers, THEN scope it as a fixed-fee build and close the engagement at handoff.
- The Gateway Reflex: Why API Management Stalls When Agencies Buy Infrastructure Before DemandFailure Pattern
- The Documentation Drift Trap: Why API Management Fails After the HandoffFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- API Governance Retainer Build (10-15 days)Implementation Blueprint
A productized engagement that inventories every client-facing endpoint, assigns an owner and a stability tier to each, and leaves the client with a monitoring and change-control layer they pay a monthly retainer to maintain. It converts one-off integration work into recurring stability revenue without forcing an enterprise gateway onto a client that does not need one.
- Endpoint Inventory and Risk Triage (Onboarding)Operating Procedure
- Client API Handoff Dossier (Handoff)Operating Procedure
- Gateway Scope Decision (Onboarding)Operating Procedure
13 modules selected for ten_cubed
Frequently Asked Questions
Answers about pricing, setup, implementation
ten_cubed is a PostgreSQL-based social graph primitive that caps each user's network at 10 direct connections and 1,110 total reachable nodes across three degrees of separation. It uses a single recursive SQL query to walk the bounded graph, preventing influencer accumulation and virality. Agencies use it to add trust-based social layers to client applications without provisioning a dedicated graph database.
ten_cubed is open-source and free to use. There are no per-seat, per-user, or subscription fees.
Backend engineers gain the most direct value, as they implement the recursive query and integrate it into client PostgreSQL schemas. Product Strategists benefit by having a reference architecture for bounded social networks to pitch to clients. Project Managers reduce infrastructure complexity by avoiding a separate graph database. Account Executives can credibly position trust-based community models to privacy-conscious prospects.
For a backend engineer building a social or community feature from scratch, ten_cubed saves approximately 6-10 hours per project by eliminating custom graph-traversal logic and network-limit validation. The payoff is highest on projects where you build 2+ community features per quarter; one-off implementations see lower ROI because setup time is amortized across fewer deliverables.
Yes. ten_cubed is implemented as a PostgreSQL recursive query and cannot run on other databases. If your agency or client infrastructure uses MongoDB, DynamoDB, or other non-relational stores, you cannot adopt ten_cubed without migrating to PostgreSQL.
Integration typically takes 2-4 hours for a backend engineer familiar with PostgreSQL recursive queries and your existing schema. If your team has no prior experience with recursive SQL, budget an additional 4-6 hours for learning and testing. No external dependencies or managed services need to be provisioned.