[Thread] Democratic campaign tech projects suffer from one-off startup-like funding with no money for further development, lack of trust between campaigns, more
complicating processes that would otherwise manage just fine 👇 https://twitter.com/... Christina Holland / @americanwombat : This is a really detailed account of specific companies and people and decisionmaking involved in campaign technology, including a lot of stuff on Shadow and its history, I think it's useful when a lot of people are just guessing and making “I bet” and “sounds like” jokes https://twitter.com/... Menotti Minutillo / @44 : incredible thread also, naively... building a custom app seems horrifyingly and needlessly complex based on a bad set of up front assumptions and decisions ?? https://twitter.com/... Michelle Ye Hee Lee / @myhlee : This is such an illuminating thread that captures the complexities of campaign tech, the funding behind it and the persistent difficulty in finding long-term solutions for improving campaign tech on the left. https://twitter.com/... Marshall Kirkpatrick / @marshallk : Here's the explanation you want to read of the Iowa Caucus tech failure, written by the 1st engineer at the company that built Twitter years ago and a very politically savvy person. https://twitter.com/... Alexis C. Madrigal / @alexismadrigal : This is a tremendous thread with great insights into what really happened with the Shadow app in the Iowa caucuses. https://twitter.com/... Katie MacBride / @msmacb : These conspiracy theories are killing me. The Iowa caucus is run by old white volunteers—what's more likely, that they rigged the entire primary or they had trouble with an app? Yascha Mounk / @yascha_mounk : I know it's tempting to make jokes... or insinuations. But there is absolutely no evidence that there is anything untoward happening in Iowa. Calling elections “rigged” without any evidence boosts conspiracy theories and destroys trust in democracy. Don't do it. @kt_so_it_goes : absolutely love the convergence of the “hillary hid the server in ukraine” people & the “hillary rigged the iowa caucus against bernie” people. this is a woman who can do all that but somehow couldn't beat a serially bankrupt pathological narcissist with a brain made of cat food Yael Eisenstat / @yaeleisenstat : 1/2 This is disinformation about our election, directly debunked by Iowa Secretary of State @IowaSOS. It's meant to sew distrust in our democratic process, which was Russia's strategy too. Apparently news anchors are free to spread lies about our election, with no accountability. https://twitter.com/...
Context & Ripple Effects
The thread arrives in the aftermath of the Iowa caucus reporting failure, where analysis points to the Shadow app and the decision-making around it — and it pushes back on the 'I bet' guessing by laying out the specific companies, people, and choices behind campaign tech. The deeper diagnosis: projects are funded like one-off startups with nothing left for continued development, and Democratic campaigns don't trust each other enough to share tooling.
That puts the story in contrast with the other side of the ledger from prior coverage: the DNC's Data Warehouse modernization effort to replace its aging Vertica repository before 2020, and the Trump campaign's demonstrated mastery of Facebook's Custom Audiences and Lookalike Audiences ad tools. The gap isn't just software — it's sustained institutional investment versus episodic, campaign-cycle funding.
First-order effects
- Vendors like Shadow and the campaigns that hired them are immediately exposed: a reporting failure in the first nominating contest puts the app, its funders, and its decision chain under public scrutiny mid-primary.
- The documented trust deficit means campaigns default to building their own tools — a path one commenter calls horrifyingly complex — rather than adopting shared infrastructure that might fail them.
Second-order effects
- One-off funding leaves vendors with no runway for post-launch fixes, pushing each campaign cycle toward rebuilt-from-scratch apps and repeating the same up-front-assumption mistakes the thread describes.
- When official tools fail, the vacuum fills with disinformation — the Iowa Secretary of State had to publicly debunk rigging claims, and the same trust gap that blocks campaign collaboration amplifies what spreads afterward.
Third-order effects
- If campaign tech stays on a startup-style funding treadmill, the party's infrastructure remains episodic rather than institutional — a structural asymmetry against opponents who built durable ad-targeting and data operations.
- The pattern feeds a longer arc where election-technology failures and unfounded fraud claims reinforce each other, the dynamic later visible in liberal election-fraud conspiracies flooding Threads across the political spectrum.
The trend: Campaign technology is trapped in a per-cycle startup funding model that prevents the sustained, trusted infrastructure both parties now treat as core electoral capability.