I started looking into more things a LLM (large language model) would be capable of doing and started working on a couple features to help with some of the repetitive data entry I was doing every month.I'm curious about learning how people do bookkeeping and some of the things they dread doing?

Clean, localized, well-segmented data tends to outperform UI once costs tighten.From what I’ve seen working with different datasets, how those addresses are sourced makes or breaks downstream efficiency.Curious how you’re sourcing or filtering the addresses that feed into the API flow — manual criteria, stacked lists, or something else?

All our data was well-organized and cleanly presented (no dropping off boxes of unorganized documents in their lap).  

Reonomy's good but expensive for beginners, Prospect Now has cheaper entry but limited data depth.

100% agree — list quality beats volume.From working with different datasets and campaigns, one pattern that keeps showing up is that segmentation by actual seller pain points (not just surface filters) drastically improves connect rates and conversation quality.We’ve also seen that dialing efficiency improves when data is refreshed and cleaned more frequently, even if overall list size is smaller.Curious if you’re seeing similar lift when lists are stacked by motivation vs. single-criteria pulls?

Instead of touting AUM as a data point there should be another term used...

While the operator initially projected strong returns, the fund has failed to pay distributions for over two years, and several key performance metrics have declined sharply.Key Performance Data (as of Q4 2025 Report):Occupancy Collapse: Occupancy has dropped from 97.5% at acquisition to 78.1%.Net Operating Income (NOI) Decline: Annualized NOI has fallen from $3,323,252 at acquisition to $2,525,046—a nearly 25% decrease.Loan Non-Compliance: The portfolio’s Debt Service Coverage Ratio (DSCR) is currently 1.10x, which is below the 1.25x covenant required by the lender.Lender Cash Sweep: Due to the covenant breach, the lender has initiated a mandatory cash sweep.

IMHO $15 for a book is a steal and I happily pay it, but I will never sign up for their $1,000 course...Highly recommended books, in order of importance:Real Estate Investing For DummiesProperty Management For DummiesABCs of Real Estate InvestmentBuilding Wealth One House At A TimeThe Small and Mighty Real Estate InvestorAs far as real estate data, look at population trends and free real estate reports. 

📊 Property Analysis: Small Multifamily in Exeter, NH (2024)Sharing a high-level analysis of a recently sold 2-family home in Exeter using publicly available data to help understand how deals in this market are penciling.Property snapshot (approximate):2-family home~6 bedrooms / 5 bathrooms total~3,500 sq ftSold in the mid-$800k rangeSold for roughly 2% over list price, which signals solid demand in this pocket of ExeterApprox. $245 per square footRental & ownership perspective:This type of property could work for:An owner-occupant living in one unit and renting the otherFriends or family members purchasing togetherOr a buyer holding both units as a long-term rentalAccording to HUD Fair Market Rents, a 3-bedroom apartment in Exeter in 2024 rents for roughly $2,500/month (actual rents may vary).Financing assumptions (illustrative only):Conventional loan with 5% down (~$42,500)Estimated closing costs of 2–3%, bringing total cash needed to roughly $65,000Exeter (like other towns in the SAU16 district) has higher-than-average property taxes compared to the stateWith 2024 interest rates in the high-6% to low-7% range, estimated monthly payment (principal, interest, taxes, insurance) would be around $7,400.Who this type of property may fit best:🏠 An owner-occupant looking to offset housing costs🤝 Friends or family co-buying to access a high-quality Exeter property📈 A long-term investor prioritizing appreciation and stability over short-term cash flowCurious to hear others’ thoughts 👇Is mid-$800k’s what you’d expect for a 2-family in Exeter today?

I’m very systems/data-oriented, so my main goal is to build a simple, repeatable “numbers” operating system for rentals. i.e. clear cash-flow visibility and consistent tracking. so I can make low-stress, data-driven decisions and manage risk.