✍️Takeaways from our DDVC x SuperReturn...

1. Key Themes

Theme 1: AI-Powered Deal Sourcing Is Shifting from Broad Data Collection to Proprietary Scoring

The commoditization of raw startup signal data means the competitive edge is no longer in gathering signals—it's in how you rank them against your fund's specific thesis.

"Lots of this data has become broadly available via providers such as Harmonic, Evertrace, and others. There's little value in rebuilding the scraping and pipelines. Focus should be on scoring to match your fund focus with highest probability of success opportunities."

Theme 2: The Shift from AI as a Tool to AI as an Autonomous Worker

The article identifies a meaningful transition in how AI is being deployed—from single-query tools to multi-step autonomous agents that complete workflows without human intervention at every step.

"A single prompt is a tool. A loop that runs, checks its own output, and retries is the beginning of an employee. The shift this year is from AI that answers to AI that does, chaining steps across sourcing, enrichment, and follow-up without a human in every link."

Theme 3: Culture and Change Management—Not Technology—Is the Binding Constraint

The room of 30 senior VC practitioners unanimously agreed that human behavior change is the real bottleneck in AI adoption, not technical capability.

"Unfortunately, everyone in the room agreed that this is the biggest bottleneck. Still. The funds making real progress treat this as change management, with internal champions, shared wins, and explicit permission to experiment."

Theme 4: Compliance Is a Design Constraint, Not an Afterthought

European regulatory pressure (GDPR, EU AI Act) is forcing funds to treat compliance as a structural input into AI stack design—not a post-hoc legal review.

"Confidential data means you cannot pipe everything into a public model without thinking hard about data handling. Bring this person [compliance lead] into the room early, as a design constraint rather than a blocker."

Theme 5: Network Intelligence as a Queryable, Institutional Asset

The strongest sourcing advantage may already exist inside a firm's collective communications—but it remains locked in individual partners' heads rather than systematized.

"The funds pulling ahead treat their network as a queryable asset, not a memory locked in one partner's head. Map who knows whom across the whole firm, then let an agent surface the strongest intro path on demand. Relationship capital only compounds when it is searchable."

2. Contrarian Perspectives

Perspective 1: Fancy AI Dashboards and Custom Builds Are a Trap for Most Funds

The consensus in tech-forward VC circles often leans toward bespoke, sophisticated tooling as a signal of seriousness. The article pushes back hard—off-the-shelf tools (Claude, Codex) are actually the highest-ROI starting point, and custom builds create maintenance burdens that small teams can't sustain.

"Off-the-shelf solutions are the lowest-risk, highest-frequency win, and the room agreed it is where most funds should start... Every internal tool you build is a tool you must maintain. Be honest about whether that is the best use of a small team."

Perspective 2: Back-Office Automation Delivers More Certain Returns Than AI-Powered Sourcing

Everyone chases the glamour of AI-enabled deal discovery, but the article argues that operational automation—portfolio monitoring, CRM hygiene, reporting—delivers faster and more reliable ROI.

"The back office is where AI pays off quietly and immediately: portfolio monitoring, reporting, data rooms, scheduling, CRM hygiene. It is less glamorous than sourcing the next breakout, and the return is far more certain."

Perspective 3: One Scaled Workflow Is Worth More Than Ten Impressive Demos

The VC industry tends to showcase breadth of AI experimentation as a proxy for sophistication. The article argues the opposite: depth and production-grade reliability on a single workflow creates more durable value than a portfolio of pilots.

"Most funds are stuck at the demo stage, with impressive one-off experiments that never become daily habits. The gap between a cool prototype and a scaled workflow is process, ownership, and reliability, not more clever prompts. Pick one experiment and push it all the way into production before starting the next."

3. Companies Identified

Harmonic

Description: Startup intelligence and signal data provider
Why mentioned: Cited as a leading source of broadly available early-stage company signals (hiring, domain registrations, etc.)
Quote: "Lots of this data has become broadly available via providers such as Harmonic, Evertrace, and others."

Evertrace

Description: Startup signal and data provider
Why mentioned: Named alongside Harmonic as part of the commoditized data layer for stealth company discovery
Quote: "Lots of this data has become broadly available via providers such as Harmonic, Evertrace, and others."

Affinity

Description: Relationship intelligence and CRM platform for investors
Why mentioned: Cited as the baseline tool funds use to manage and query their network graph
Quote: "Many funds use Affinity as a baseline."

Vessel

Description: Agentic operating system for VC and PE fund operations
Why mentioned: Newsletter sponsor; positioned as a solution that unifies fund accounting, portfolio data, and LP records to enable AI agents to handle operational tasks
Quote: "Vessel is the agentic operating system that unifies your fund accounting, portfolio data, and LP records, so AI agents can draft quarterly reports, prep LP meeting briefs, and answer LP questions with full context."

VC-Skills

Description: Workflow skill-sharing platform for investors
Why mentioned: Named as one of the 5 most frequently recommended tools by breakfast attendees (excluding Claude/Codex)
Quote: Listed as one of "the 5 most frequently mentioned" tools by the room

Granola

Description: AI-powered meeting notes tool
Why mentioned: Named as one of the 5 most frequently recommended tools by breakfast attendees
Quote: Listed as one of "the 5 most frequently mentioned" tools by the room

WhisperFlow

Description: Voice-to-text / audio transcription productivity tool
Why mentioned: Named as one of the 5 most frequently recommended tools by breakfast attendees
Quote: Listed as one of "the 5 most frequently mentioned" tools by the room

Groovin

Description: Workflow or productivity tool (specific use case not detailed in article)
Why mentioned: Named as one of the 5 most frequently recommended tools by breakfast attendees
Quote: Listed as one of "the 5 most frequently mentioned" tools by the room

Obsidian

Description: Personal knowledge management and note-linking tool
Why mentioned: Named as one of the 5 most frequently recommended tools; aligns with the "second brain" knowledge base theme of the event
Quote: Listed as one of "the 5 most frequently mentioned" tools by the room

Roundtable

Description: Event partnership organization
Why mentioned: Co-hosted the DDVC x SuperReturn breakfast in Berlin
Quote: "Thanks to Roundtable for partnering on the breakfast."

4. People Identified

Andre Retterath

Description: Author of the Data Driven VC newsletter; investor focused on data and AI-driven investing
Why mentioned: Host of the DDVC x SuperReturn breakfast and author of the article summarizing takeaways
Quote: "Hi, I'm Andre and welcome to my newsletter Data Driven VC which is all about becoming a better investor with data and AI."

5. Operating Insights

1. Treat Reliability as the Core Adoption Metric for AI Agents

Deploying AI broadly before narrowing scope and adding guardrails actively destroys internal trust—which is harder to rebuild than it is to protect. One failure in front of an LP can erase months of efficiency gains.

"The fastest way to kill internal adoption is an agent that is right most of the time and confidently wrong the rest. Trust is the real adoption metric, and it is earned through guardrails, human checkpoints, and narrow, well-scoped tasks before broad ones. One embarrassing hallucination in front of an LP costs more than months of efficiency gains."

2. Codify Breakthrough Workflows as Reusable Team Skills Before Moving On

Individual breakthroughs in AI productivity only compound when they are institutionalized and distributed. Keeping a workflow siloed with one person is the equivalent of leaving it unused.

"Codifying a good workflow into a reusable skill the whole team can run turns one person's breakthrough into the firm's baseline. A skill used by ten people is worth ten times the same skill trapped with its author."

3. Sequence the Build-vs-Buy Decision Around Proprietary Edges

The right framework isn't "build or buy" as a binary—it's buying commodity capabilities and building only where you have genuinely proprietary first-party data or scoring logic.

"Buy the commodity, build only where your edge is genuinely proprietary, such as your exclusive first-party data or scoring logic."

6. Overlooked Insights

1. The Knowledge Base as an Institutional Memory Tool Is Underprioritized Relative to Sourcing

While the sourcing and agent themes dominate discussion in most VC AI conversations, the article quietly makes a strong case that a firm's accumulated call notes, memos, and passed deal rationales represent an undertapped "second brain"—one that directly improves decision consistency and speed over time.

"Every call note, memo, and passed deal is training data for your own judgment, and most of it rots in folders. A well-structured second brain lets you ask 'what did we conclude about this category two years ago' and get a real answer in seconds. The firm that remembers its own thinking makes faster and more consistent decisions. Invest in capture and retrieval before anything flashier."

2. Compliance Resolution Requires GP/MD-Level Authority, Not Just Process Design

Beyond the broad point that compliance is a design constraint, the article includes a specific and actionable escalation path that is easy to miss: when grey areas stall progress, a general partner or managing director must be brought in to make a binary risk decision and document it—enabling the team to move forward rather than remain paralyzed.

"If you get stuck, pull a GP / MD in to resolve grey areas. Either take the risk or not, but someone needs to decide so you can move on. Document the process, reuse, and improve."