The terminology behind Nifl and modern place-saving. From Smart Extract to the Intention-Action Gap — every term explained.
A behavioural rule: for every hour of social media scrolling, commit to visiting one saved place. Turns scrolling from a free action into one with a real-world obligation attached, naturally reducing low-quality saves and increasing follow-through.
Nifl's policy that each saved place can trigger only one proximity notification per 48 hours. Prevents alert fatigue. You can walk past a saved place 10 times in a day without getting spammed — you will only be notified once.
Tools designed to work with executive function challenges rather than against them. Key traits: zero-friction capture, external memory, contextual surfacing, and no setup tax. Nifl is ADHD-friendly by design.
Nifl's ability to push planned place visits to Apple Calendar. Once scheduled, a visit appears alongside your other events, with the place name and address included.
Nifl's four-stage framework for turning saved places into real visits. Most tools cover one or two stages. Nifl covers all four, which is why its completion rate is higher.
A themed group of saved places inside Nifl. Examples: "Date Night Spots", "London Coffee", or "Tokyo Trip 2026". Collections can be organised by city, occasion, cuisine, or any theme that matters to you.
The opposite of place-first saving. When you bookmark a TikTok, you save the video, not the place. The distinction matters because content-first saves can't be mapped, searched by location, or surfaced by proximity.
The behavior of accumulating saved digital content — posts, bookmarks, videos — without ever revisiting or acting on it. Most TikTok bookmark folders are examples of digital hoarding. The fix is tooling that forces follow-through, not just storage.
A system that remembers things on your behalf so your brain does not have to. Nifl functions as external memory for places — you save them once and the app surfaces them at the right moment via proximity alerts and collections.
A design principle stating that the path from discovering a place to saving it must contain zero unnecessary steps. Nifl achieves this with share-sheet integration — no app switching, no retyping, no lookup.
A behavioural science concept: attaching a specific when/where to an intention dramatically increases completion rates. Nifl's calendar integration turns vague "someday" saves into specific "Thursday at 7pm" plans.
The psychological gap between wanting to do something and actually doing it. For saved places, this gap is massive — saved restaurants convert to actual visits at a 2–5% rate without tooling. Nifl is designed to close this gap via maps, calendar planning, and proximity alerts.
The act of saving a place with as little friction as possible — ideally under 3 seconds. The core design principle behind Nifl: if capture requires more steps, it will not happen in the moment, and the intention is lost.
A saving model where the primary object is the place itself — with address, location, and map coordinates — not the content it was discovered through (video, post, etc.). Nifl is place-first. TikTok bookmarks are content-first.
A quiet notification sent when you are physically near a place you have saved. Nifl uses a 48-hour cooldown per place so the alerts never feel spammy. Proximity notifications solve the "I forgot I saved that" problem by surfacing saved places at the exact moment they are useful.
Nifl's feature for saving a place directly from the map — long-press any location to drop a quick pin without searching or typing.
Colloquial term for a folder of saved content that never gets revisited. Typical examples: your Instagram Saved folder, your TikTok bookmarks, your Pinterest "Places to Visit" board. Distinguished from active place collections by their lack of structure and zero follow-through rate.
A Nifl collection that multiple users can add to. Common use: couples building a shared "Date Night" collection where both partners add places as they discover them.
Nifl's feature for automatically pulling place names out of shared TikTok and Instagram videos. Instead of retyping or searching, you share a video directly to Nifl and it identifies the restaurants, cafés, or landmarks mentioned in it.
Organising saved places by theme rather than chronology or source. "Rainy Day Spots", "Walkable Dates", "Brunch Places" — themes match how human memory actually works. Flat chronological lists don't.
A tool for extracting the real-world places mentioned in a TikTok video. Nifl's Smart Extract is the most complete version. Standalone web tools provide partial functionality but cannot save to collections or trigger proximity alerts.
The percentage of saved places that you actually visit. Typical TikTok bookmarks have a 2–5% visit rate. Nifl users typically report 30–40%. The 10x difference comes from proximity alerts, calendar planning, and map-based discovery.