Finta performance tuning
Skill jeremylongshore/claude-code-plugins-plus-skills/skills/.curated/finta-performance-tuning
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'Optimize Finta fundraise workflow efficiency.
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SKILL.md
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Finta Performance Tuning
Overview
Finta's fundraising API handles investor list pagination, round data aggregation, and CRM sync batching. Founders querying large investor databases (1,000+ contacts) hit pagination bottlenecks, while round aggregation across multiple funding stages compounds latency. Optimizing paginated fetches with cursor-based iteration, caching investor profiles, and batching CRM sync writes reduces pipeline load times by 50-70% and keeps fundraising dashboards responsive during active rounds.
Caching Strategy
const cache = new Map<string, { data: any; expiry: number }>();
const TTL = { investors: 600_000, rounds: 300_000, pipeline: 120_000 };
async function cached(key: string, ttlKey: keyof typeof TTL, fn: () => Promise<any>) {
const entry = cache.get(key);
if (entry && entry.expiry > Date.now()) return entry.data;
const data = await fn();
cache.set(key, { data, expiry: Date.now() + TTL[ttlKey] });
return data;
}
// Investor profiles change rarely (10 min). Pipeline stages are volatile (2 min).
Batch Operations
async function syncInvestorsBatch(client: any, cursor?: string, pageSize = 100) {
const allInvestors = [];
let nextCursor = cursor;
do {
const page = await client.listInvestors({ cursor: nextCursor, limit: pageSize });
allInvestors.push(...page.data);
nextCursor = page.next_cursor;
if (nextCursor) await new Promise(r => setTimeout(r, 200));
} while (nextCursor);
return allInvestors;
}
Connection Pooling
import { Agent } from 'https';
const agent = new Agent({ keepAlive: true, maxSockets: 8, maxFreeSockets: 4, timeout: 30_000 });
// Finta API calls are lightweight — moderate socket count suffices
Rate Limit Management
async function withRateLimit(fn: () => Promise<any>): Promise<any> {
const res = await fn();
const remaining = parseInt(res.headers?.['x-ratelimit-remaining'] || '50');
if (remaining < 3) {
const resetMs = parseInt(res.headers?.['x-ratelimit-reset'] || '5') * 1000;
await new Promise(r => setTimeout(r, resetMs));
}
return res;
}
Monitoring
const metrics = { apiCalls: 0, cacheHits: 0, syncErrors: 0, avgLatencyMs: 0 };
function track(startMs: number, cached: boolean, error?: boolean) {
metrics.apiCalls++;
metrics.avgLatencyMs = (metrics.avgLatencyMs * (metrics.apiCalls - 1) + (Date.now() - startMs)) / metrics.apiCalls;
if (cached) metrics.cacheHits++; if (error) metrics.syncErrors++;
}
Performance Checklist
- Use cursor-based pagination for investor lists (not offset)
- Cache investor profiles with 10-min TTL
- Batch CRM sync writes in groups of 50
- Aggregate round data client-side to avoid repeated queries
- Enable HTTP keep-alive for persistent connections
- Parse rate limit headers and pause before exhaustion
- Prefetch deal room analytics during idle periods
- Set pipeline cache TTL to 2 min for active-round freshness
Error Handling
| Issue | Cause | Fix |
|---|---|---|
| Slow investor list load | Offset-based pagination on large dataset | Switch to cursor-based iteration with limit=100 |
| Stale round totals | Aggregation cache too long during active round | Reduce round TTL to 5 min, invalidate on write |
| CRM sync timeout | Too many individual writes | Batch CRM updates in groups of 50 |
| 429 Rate Limited | Burst of API calls during pipeline refresh | Parse rate limit headers, add progressive backoff |
Resources
- Finta Developer Docs
- Finta Blog
Next Steps
See finta-reference-architecture.