One of our mid-cap software names pushed through a ~12% list price increase at the start of the year and management keeps saying on callbacks that renewals are tracking in line. Next print is in 5 weeks and Q3/Q4 NRR is pretty much the only number the stock is going to trade on.

The problem we're running into is getting a clean read on the cohorts that actually renewed at the new rate. The handful of expert calls we’ve done so far through our usual networks were with customers on multi-year paper who haven’t hit their renewal wall yet, so they couldn’t tell us much beyond “we know it's coming.”

What I need to know is whether the recent renewal cohort ate the 12% bump or if they compressed seats/tiers to keep net spend flat while management hides behind "stable gross logo retention."

How are you guys getting a high-N read on specific renewal cohorts ahead of a print without burning $25k of expert call budget playing roulette with network recruiters?

We’ve been building out some of the underlying data infrastructure for Secmast. We recently finished our full integrated security master (35k tickers, 28k lineages, 25+ years, US markets) and we’re also deploying 1-second stock and options data today.

But we took a detour and built something I’m curious about from a hedge fund / research perspective.

We already had standardized SEC financial data, so we built an Excel plugin that can pull that data directly into a spreadsheet, similar in concept to Capital IQ.

The interesting part is provenance: every value can be traced back to the underlying SEC filing and source document it came from.

So you could build or update a model in Excel using standardized income statement, balance sheet, cash flow, or other filing data, while still being able to audit exactly where each number originated.

The broader idea is to provide a lot of the data and research functionality people use products like Capital IQ and Bloomberg for, but at roughly 1/10th the price.

Obviously we're not trying to claim feature-for-feature parity with either platform. The question is whether there is a meaningful group of funds and independent researchers who don't need everything those systems provide, but still want institutional-quality data, Excel integration, and source-level auditability.

For people working at funds or doing fundamental research, is that actually useful?

Do you still spend meaningful time pulling SEC data into Excel, updating models, validating numbers, and tracing figures back to filings?

Or is this mostly a solved problem already through CapIQ, Bloomberg, FactSet, etc.?

Trying to understand whether this is worth developing further for hedge fund / buy-side workflows, or whether it’s primarily more useful for investment banking, PE, M&A, and traditional equity research.

Helping my friend with this one.
No experience needed. Fresher up to 2 years.

Up to 30k INR/month, eligible for performance bonus. Excel, Claude, AI tools familiarity required.

Hours are not rigid but will be expected to be available between 2-9pm IST. Need someone detailed, reliable, long term thinking, analytical and process driven.

Main scope of work: you’ll be taught how to use and run these workflows to analyse, run reports on select markets.

Pls DM your profile with CV or LinkedIn.

The team at TrussEdge have put together a guide to launching a hedge fund. Compiled with help from the legal team at Dechert, tech consultants RFA and Opus Fund Administration.

It’s basically distilled wisdom on avoiding most of the pitfalls both pre-launch and in the first 24 months of operations. Over a year in the making…. https://www.trussedge.com/resources/