PAIN TRIGGERS
Existing protocols are too narrowly focused on chat for future agent capabilities.
Uncertainty regarding event subscription versus polling in agent protocols.
SaaS· Elixir developersPain 7.00/10WTP 5.0/10Market 7.0/10Validation 6.0Confidence 88%Sep 28, 2026
DASP: Durable Actor Session Protocol for Non-Chat AI Agents
Existing agent communication protocols like Microsoft's AHP are overly centered around text chat, failing to support language-agnostic durable actor sessions, reliable event subscriptions, and advanced non-chat agent workflows.
apicollaborationdevelopersdevtoolsintegrationopen-sourceworkflow
1
STAGE 01 · PROBLEM
Is the problem real?
CANONICAL PROBLEM
Existing agent communication protocols like AHP are overly centered around text chat rather than supporting non-chat agent sessions and language-agnostic durable actor communication.
FREQUENCY
Limited repetition signal.
INTENSITY
Users explicitly describe existing tools as bloated/overkill and mention workaround behavior.
EVIDENCE
Show HN: Durable Actor Session Protocol
164
Is this purely polling, or am I missing how to subscribe to events?
commentIs this purely polling, or am I missing how to subscribe to events?
2
STAGE 02 · CUSTOMER
Who feels this pain?
TARGET USERS
Elixir developersDistributed Systems And A I Engineers
Engineers building durable, stateful AI agents who need reliable, language-agnostic actor communication beyond text chat.
Context
Establish a language-agnostic durable actor session protocol that supports agent use cases beyond basic text chat.
Building custom protocols (like DASP) when existing standards fail to meet specific requirements.
Current Workarounds
building custom ad-hoc protocols
forcing chat-centric protocols like AHP to fit asynchronous stateful actors
implementing fragile polling loops for agent event tracking
3
STAGE 03 · MARKET
Where's the gap?
EXISTING SOLUTION GAPS
Existing protocols (A2A, ACP, AHP) do not meet language-agnostic durable actor session requirements beyond chat.
Lack of clarity on event subscription mechanisms within early protocol specifications.
OPPORTUNITY & VALUE
Why Now
Identified gap in existing multi-agent protocols regarding non-chat capabilities and structured event subscriptions.
Value Proposition
Purpose-built for durable, non-chat actor communication rather than retrofitting traditional text chat protocols.
Product Direction
A standardized, language-agnostic protocol and SDK for durable actor sessions that natively supports non-chat agent interactions, robust event subscriptions, and state persistence.
4
STAGE 04 · BUSINESS
How does it make money?
MONETIZATION
$0Free open-source protocol with managed infrastructure tier
Model
Open-core SaaS / Developer Tooling
WILLINGNESS TO PAY
Infrastructure engineers building mission-critical multi-agent systems will pay for managed routing, telemetry, and scaling support to avoid maintaining custom bespoke protocols.
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STAGE 05 · EXECUTION
How do you ship it?
MVP PLAN
“Durable actor communication for non-chat AI agents.”
A standardized, language-agnostic protocol and SDK for durable actor sessions that natively supports non-chat agent interactions, robust event subscriptions, and state persistence.
Core Features
Language-agnostic session primitives
Event subscription and streaming framework
Durable actor state synchronization spec
Weekly Roadmap
1
W1-W2
Core protocol specification and basic actor messaging model defined.
- •Draft protocol specification document for durable actor sessions
- •Define event subscription vs polling primitives
- •Build reference implementation in Go or Elixir
2
W3-W4
Functional client SDK and basic event streaming loop operational.
- •Develop core client SDK for state synchronization
- •Implement publish-subscribe event routing
- •Test asynchronous agent message exchanges
3
W5
Internal validation and pilot testing with developer community feedback.
- •Open source the specification and reference SDK
- •Recruit early engineering feedback from Hacker News and GitHub
- •Refine error handling and edge cases in state recovery
4
W6
Public release and documentation portal launch.
- •Publish comprehensive documentation and quickstart guides
- •Launch community discussion channels
- •Track initial developer adoption and integration metrics
Launch Strategy
Engage developer communities on Hacker News, GitHub, and specialized engineering forums (e.g., r/programming, Elixir/distributed systems communities).
RISKS & ASSUMPTIONS
Top Risks
Standardization adoption lag
Developers may hesitate to adopt a new protocol before it gains broader industry consensus.
Language SDK maintenance overhead
Supporting multiple programming languages required for a language-agnostic protocol creates high initial engineering load.
Event streaming complexity
Designing robust pub/sub mechanisms that work seamlessly across disparate agent backends is technically challenging.
6
STAGE 06 · DECISION
Should you build it?
NEED A CLEARER CALL?
Run an Investment Memo to get a structured Go / No-Go verdict, competitor landscape, unit economics, and a 90-day validation roadmap for this opportunity.
Generate an investment memoWhat this score means
This idea scores in the upper-middle range of opportunities surfaced by MonetScope, with a validation sub-score of 6/10 against 2 independently sourced evidence signals. A "promising" rating usually indicates a real pain has been detected and discussed in the open, but the pipeline did not find enough signal to flag it as urgent or high-frequency. These opportunities can still produce excellent businesses — they often correspond to "boring" problems that established players have ignored — but the founder should expect a longer customer-development cycle to confirm willingness to pay.
Why this matters for SaaS founders
It sits at the intersection of "api", "collaboration", "developers", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. SaaS opportunities at this stage tend to win on the strength of their initial wedge — a single workflow that the target user runs every week, where the existing solution is either spreadsheets, a clunky incumbent feature, or a manual process they hate. The build cost is moderate; the distribution cost is everything. The MonetScope pipeline surfaces this category alongside other saas signals, which is why it appears here rather than in a generic "trending ideas" feed.
Scores are derived from real forum discussions across Reddit, Hacker News and X, weighted by evidence volume and signal quality. How scoring works
Frequently asked questions
Is "DASP: Durable Actor Session Protocol for Non-Chat AI Agents" a real validated startup idea or just an AI-generated suggestion?
MonetScope does not generate ideas from a language model's imagination. Every opportunity on this site is anchored to specific source posts and comments from real public discussions — typically on Reddit, Hacker News, or X — where actual users describe the pain in their own words. The AI's role is structuring, scoring, and grouping those signals into a navigable opportunity, not inventing the problem.
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MonetScope's spider pipeline runs continuously and surfaces opportunities as new evidence accumulates. The "Updated" date in the header reflects the most recent re-scoring of this specific opportunity. Most saas opportunities visible in the public catalog draw from discussions in the last 30-60 days; older signals are de-prioritized because user pain shifts faster than most founders assume.
What's the difference between "overall score" and "validation score"?
Overall score is a composite across six dimensions — pain, urgency, willingness to pay, market size, defensibility, and execution ease — designed to give a single number for triage. Validation score is narrower: it asks "how cleanly does the same signal repeat across independent sources?" An opportunity can score high on overall but lower on validation when one or two large discussions dominate the evidence; conversely, validation can be high on a smaller-overall idea where the signal is consistent but the addressable market is modest.